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how long was patient 78076's last stay in hospital? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 78076 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long was patient 78076's last stay in hospital?
# SQLQuery:
|
calculate the duration of patient 23224's last hospital stay. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 23224 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: calculate the duration of patient 23224's last hospital stay.
# SQLQuery:
|
how long was the first stay in the hospital of patient 52898? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 52898 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long was the first stay in the hospital of patient 52898?
# SQLQuery:
|
how long does patient 8562 stay in hospital for the first time. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 8562 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long does patient 8562 stay in hospital for the first time.
# SQLQuery:
|
what is patient 3745's length of stay of the last hospital stay? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 3745 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is patient 3745's length of stay of the last hospital stay?
# SQLQuery:
|
how long is the last hospital stay of patient 9038? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 9038 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long is the last hospital stay of patient 9038?
# SQLQuery:
|
how long did patient 26195 first stay in the hospital? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 26195 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long did patient 26195 first stay in the hospital?
# SQLQuery:
|
how long was the first hospital stay of patient 65883? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 65883 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how long was the first hospital stay of patient 65883?
# SQLQuery:
|
tell me how long patient 11362 stayed in the hospital last time. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 11362 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: tell me how long patient 11362 stayed in the hospital last time.
# SQLQuery:
|
calculate the length of hospital stay of the first hospital stay of patient 74716. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 74716 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: calculate the length of hospital stay of the first hospital stay of patient 74716.
# SQLQuery:
|
what was the length of stay in patient 30789's last hospital stay? | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 30789 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the length of stay in patient 30789's last hospital stay?
# SQLQuery:
|
tell me how long patient 3745 stayed in the hospital last time. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 3745 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: tell me how long patient 3745 stayed in the hospital last time.
# SQLQuery:
|
calculate patient 7375's length of stay during his first hospital stay. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 7375 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: calculate patient 7375's length of stay during his first hospital stay.
# SQLQuery:
|
calculate the length of the hospital stay of patient 77980 for the first hospital stay. | select strftime('%j',admissions.dischtime) - strftime('%j',admissions.admittime) from admissions where admissions.subject_id = 77980 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: calculate the length of the hospital stay of patient 77980 for the first hospital stay.
# SQLQuery:
|
what was the insurance plan of patient 59941 on their first hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 59941 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the insurance plan of patient 59941 on their first hospital visit?
# SQLQuery:
|
what are the name of insurance of patient 29741 in their last hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 29741 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what are the name of insurance of patient 29741 in their last hospital visit?
# SQLQuery:
|
what's the name of the insurance for patient 18159 on the first hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 18159 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what's the name of the insurance for patient 18159 on the first hospital visit?
# SQLQuery:
|
what did patient 24330's insurance name be in their last hospital encounter? | select admissions.insurance from admissions where admissions.subject_id = 24330 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what did patient 24330's insurance name be in their last hospital encounter?
# SQLQuery:
|
what was patient 83709's insurance name on their last hospital encounter? | select admissions.insurance from admissions where admissions.subject_id = 83709 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was patient 83709's insurance name on their last hospital encounter?
# SQLQuery:
|
during the last hospital visit what is the health insurance of patient 44625? | select admissions.insurance from admissions where admissions.subject_id = 44625 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: during the last hospital visit what is the health insurance of patient 44625?
# SQLQuery:
|
what's patient 18159's insurance name in their first hospital encounter? | select admissions.insurance from admissions where admissions.subject_id = 18159 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what's patient 18159's insurance name in their first hospital encounter?
# SQLQuery:
|
what the name of the insurance of patient 12797 when they visited the hospital first time? | select admissions.insurance from admissions where admissions.subject_id = 12797 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what the name of the insurance of patient 12797 when they visited the hospital first time?
# SQLQuery:
|
what is an insurance plan for patient 138 in the first hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 138 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is an insurance plan for patient 138 in the first hospital visit?
# SQLQuery:
|
what's patient 29741's 'insurance plan' during the last hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 29741 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what's patient 29741's 'insurance plan' during the last hospital visit?
# SQLQuery:
|
tell me the insurance plan for patient 9619 when they came to the hospital last time? | select admissions.insurance from admissions where admissions.subject_id = 9619 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: tell me the insurance plan for patient 9619 when they came to the hospital last time?
# SQLQuery:
|
what is the name of the health insurance used for patient 78641 when they came to the hospital last time? | select admissions.insurance from admissions where admissions.subject_id = 78641 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of the health insurance used for patient 78641 when they came to the hospital last time?
# SQLQuery:
|
in the first hospital encounter what are the insurance names of patient 15135? | select admissions.insurance from admissions where admissions.subject_id = 15135 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in the first hospital encounter what are the insurance names of patient 15135?
# SQLQuery:
|
tell me the insurance plan in place for patient 83709 during their last hospital visit? | select admissions.insurance from admissions where admissions.subject_id = 83709 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: tell me the insurance plan in place for patient 83709 during their last hospital visit?
# SQLQuery:
|
whats the name of the insurance for patient 1903 during the last hospital encounter? | select admissions.insurance from admissions where admissions.subject_id = 1903 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: whats the name of the insurance for patient 1903 during the last hospital encounter?
# SQLQuery:
|
what is the name of insurance for patient 10278 when they came to the hospital last time. | select admissions.insurance from admissions where admissions.subject_id = 10278 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of insurance for patient 10278 when they came to the hospital last time.
# SQLQuery:
|
what is patient 18726's insurance plan in the last hospital encounter. | select admissions.insurance from admissions where admissions.subject_id = 18726 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is patient 18726's insurance plan in the last hospital encounter.
# SQLQuery:
|
in the first hospital visit what is the health insurance of patient 52342? | select admissions.insurance from admissions where admissions.subject_id = 52342 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in the first hospital visit what is the health insurance of patient 52342?
# SQLQuery:
|
during their last hospital visit what was the insurance plan of patient 29741? | select admissions.insurance from admissions where admissions.subject_id = 29741 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: during their last hospital visit what was the insurance plan of patient 29741?
# SQLQuery:
|
during their last hospital visit what was the marital status of patient 19981? | select admissions.marital_status from admissions where admissions.subject_id = 19981 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: during their last hospital visit what was the marital status of patient 19981?
# SQLQuery:
|
what was the marital status of patient 31141 when they came to the hospital last time? | select admissions.marital_status from admissions where admissions.subject_id = 31141 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 31141 when they came to the hospital last time?
# SQLQuery:
|
what were the marital status of patient 11732 on the last hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 11732 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the marital status of patient 11732 on the last hospital encounter?
# SQLQuery:
|
what is the marital status of patient 43735 on the first hospital encounter. | select admissions.marital_status from admissions where admissions.subject_id = 43735 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 43735 on the first hospital encounter.
# SQLQuery:
|
in the last hospital encounter what was the marital status of patient 19144? | select admissions.marital_status from admissions where admissions.subject_id = 19144 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in the last hospital encounter what was the marital status of patient 19144?
# SQLQuery:
|
in their last hospital encounter what was the marital status of patient 18678? | select admissions.marital_status from admissions where admissions.subject_id = 18678 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in their last hospital encounter what was the marital status of patient 18678?
# SQLQuery:
|
in the last hospital visit what was the marital status of patient 18742? | select admissions.marital_status from admissions where admissions.subject_id = 18742 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in the last hospital visit what was the marital status of patient 18742?
# SQLQuery:
|
what is the marital status of patient 9519 in their last hospital visit. | select admissions.marital_status from admissions where admissions.subject_id = 9519 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 9519 in their last hospital visit.
# SQLQuery:
|
what was the marital status of patient 20251 during the last hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 20251 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 20251 during the last hospital visit?
# SQLQuery:
|
what is the marital status of patient 58932 on their first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 58932 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 58932 on their first hospital visit?
# SQLQuery:
|
what was the marital status of patient 85169 during their first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 85169 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 85169 during their first hospital visit?
# SQLQuery:
|
when they visited the hospital first time what was the marital status of patient 44848? | select admissions.marital_status from admissions where admissions.subject_id = 44848 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: when they visited the hospital first time what was the marital status of patient 44848?
# SQLQuery:
|
what is the marital status of patient 85169 when they visited the hospital first time? | select admissions.marital_status from admissions where admissions.subject_id = 85169 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 85169 when they visited the hospital first time?
# SQLQuery:
|
what is the marital status of patient 54281 in the last hospital encounter. | select admissions.marital_status from admissions where admissions.subject_id = 54281 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 54281 in the last hospital encounter.
# SQLQuery:
|
what is the marital status of patient 43052 during the first hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 43052 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 43052 during the first hospital encounter?
# SQLQuery:
|
in the last hospital encounter what was the marital status of patient 88441? | select admissions.marital_status from admissions where admissions.subject_id = 88441 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in the last hospital encounter what was the marital status of patient 88441?
# SQLQuery:
|
what was the marital status of patient 19894 on their first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 19894 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 19894 on their first hospital visit?
# SQLQuery:
|
what was the marital status of patient 3273 on their first hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 3273 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 3273 on their first hospital encounter?
# SQLQuery:
|
what was the marital status of patient 5878 on the first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 5878 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 5878 on the first hospital visit?
# SQLQuery:
|
what was the marital status of patient 45321 on their first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 45321 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 45321 on their first hospital visit?
# SQLQuery:
|
what were the marital status of patient 26175 on their last hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 26175 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the marital status of patient 26175 on their last hospital visit?
# SQLQuery:
|
during the first hospital visit what was the marital status of patient 96728? | select admissions.marital_status from admissions where admissions.subject_id = 96728 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: during the first hospital visit what was the marital status of patient 96728?
# SQLQuery:
|
what was the marital status of patient 90165 during the first hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 90165 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 90165 during the first hospital encounter?
# SQLQuery:
|
what is the marital status of patient 25997 on their last hospital encounter. | select admissions.marital_status from admissions where admissions.subject_id = 25997 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 25997 on their last hospital encounter.
# SQLQuery:
|
on their last hospital visit what was the marital status of patient 25461? | select admissions.marital_status from admissions where admissions.subject_id = 25461 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: on their last hospital visit what was the marital status of patient 25461?
# SQLQuery:
|
what is the marital status of patient 19894 in their first hospital encounter. | select admissions.marital_status from admissions where admissions.subject_id = 19894 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the marital status of patient 19894 in their first hospital encounter.
# SQLQuery:
|
what was the marital status of patient 81871 in the first hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 81871 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the marital status of patient 81871 in the first hospital encounter?
# SQLQuery:
|
in their last hospital visit what was the marital status of patient 26175? | select admissions.marital_status from admissions where admissions.subject_id = 26175 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in their last hospital visit what was the marital status of patient 26175?
# SQLQuery:
|
in their first hospital visit what was the marital status of patient 19981? | select admissions.marital_status from admissions where admissions.subject_id = 19981 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: in their first hospital visit what was the marital status of patient 19981?
# SQLQuery:
|
what were the marital status of patient 28277 on the first hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 28277 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_CPT' has columns: ROW_ID (INTEGER), CATEGORY (INTEGER), SECTIONRANGE (VARCHAR), SECTIONHEADER (VARCHAR), SUBSECTIONRANGE (VARCHAR), SUBSECTIONHEADER (VARCHAR), CODESUFFIX (VARCHAR), MINCODEINSUBSECTION (INTEGER), MAXCODEINSUBSECTION (INTEGER), . The table is: Codes for evaluation and management services with their corresponding categories and subsection headers.{'ROW_ID': 1, 'CATEGORY': 1, 'SECTIONRANGE': '99201-99499', 'SECTIONHEADER': 'EVALUATION AND MANAGEMENT', 'SUBSECTIONRANGE': '99201-99216', 'SUBSECTIONHEADER': 'OFFICE/OTHER OUTPATIENT SERVICES', 'CODESUFFIX': None, 'MINCODEINSUBSECTION': 99201, 'MAXCODEINSUBSECTION': 99216}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the marital status of patient 28277 on the first hospital visit?
# SQLQuery:
|
what were the marital status of patient 44848 in the first hospital encounter? | select admissions.marital_status from admissions where admissions.subject_id = 44848 and admissions.dischtime is not null order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the marital status of patient 44848 in the first hospital encounter?
# SQLQuery:
|
what were the marital status of patient 40967 in their last hospital visit? | select admissions.marital_status from admissions where admissions.subject_id = 40967 and admissions.dischtime is not null order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CAREGIVER' has columns: ROW_ID (INTEGER), CGID (INTEGER), LABEL (VARCHAR), DESCRIPTION (VARCHAR), . The table is: This table contains information about caregivers, including their roles and descriptions.{'ROW_ID': 2228, 'CGID': 16174, 'LABEL': 'RO', 'DESCRIPTION': 'READ ONLY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the marital status of patient 40967 in their last hospital visit?
# SQLQuery:
|
how did patient 74624 get admitted to the hospital since 4 years ago first? | select admissions.admission_type from admissions where admissions.subject_id = 74624 and datetime(admissions.admittime) >= datetime(current_time,'-4 year') order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 74624 get admitted to the hospital since 4 years ago first?
# SQLQuery:
|
how did patient 89037 last enter the hospital. | select admissions.admission_type from admissions where admissions.subject_id = 89037 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 89037 last enter the hospital.
# SQLQuery:
|
how did patient 2002 get admitted to the hospital for the first time? | select admissions.admission_type from admissions where admissions.subject_id = 2002 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 2002 get admitted to the hospital for the first time?
# SQLQuery:
|
what was the first type of hospital admission type of patient 3939? | select admissions.admission_type from admissions where admissions.subject_id = 3939 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the first type of hospital admission type of patient 3939?
# SQLQuery:
|
since 1 year ago what is the first hospital admission type of patient 27465? | select admissions.admission_type from admissions where admissions.subject_id = 27465 and datetime(admissions.admittime) >= datetime(current_time,'-1 year') order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: since 1 year ago what is the first hospital admission type of patient 27465?
# SQLQuery:
|
how did patient 27242 first come to the hospital. | select admissions.admission_type from admissions where admissions.subject_id = 27242 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 27242 first come to the hospital.
# SQLQuery:
|
how did patient 20862 first come into the hospital since 3 years ago? | select admissions.admission_type from admissions where admissions.subject_id = 20862 and datetime(admissions.admittime) >= datetime(current_time,'-3 year') order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 20862 first come into the hospital since 3 years ago?
# SQLQuery:
|
what was the last type of hospital admission of patient 462 since 2 years ago. | select admissions.admission_type from admissions where admissions.subject_id = 462 and datetime(admissions.admittime) >= datetime(current_time,'-2 year') order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the last type of hospital admission of patient 462 since 2 years ago.
# SQLQuery:
|
how did patient 26995 first get in a hospital? | select admissions.admission_type from admissions where admissions.subject_id = 26995 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 26995 first get in a hospital?
# SQLQuery:
|
how did patient 6990 enter the hospital for the last time? | select admissions.admission_type from admissions where admissions.subject_id = 6990 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 6990 enter the hospital for the last time?
# SQLQuery:
|
how patient 19412 was admitted to hospital since 5 years ago for the last time? | select admissions.admission_type from admissions where admissions.subject_id = 19412 and datetime(admissions.admittime) >= datetime(current_time,'-5 year') order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how patient 19412 was admitted to hospital since 5 years ago for the last time?
# SQLQuery:
|
how patient 16368 was admitted to the hospital last? | select admissions.admission_type from admissions where admissions.subject_id = 16368 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how patient 16368 was admitted to the hospital last?
# SQLQuery:
|
how did patient 51577 come in for last time to the hospital? | select admissions.admission_type from admissions where admissions.subject_id = 51577 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 51577 come in for last time to the hospital?
# SQLQuery:
|
how did patient 8204 go into the hospital the first time. | select admissions.admission_type from admissions where admissions.subject_id = 8204 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 8204 go into the hospital the first time.
# SQLQuery:
|
how has patient 27177 last visited the hospital since 2 years ago? | select admissions.admission_type from admissions where admissions.subject_id = 27177 and datetime(admissions.admittime) >= datetime(current_time,'-2 year') order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how has patient 27177 last visited the hospital since 2 years ago?
# SQLQuery:
|
how did patient 76327 enter the hospital since 6 years ago for the first time? | select admissions.admission_type from admissions where admissions.subject_id = 76327 and datetime(admissions.admittime) >= datetime(current_time,'-6 year') order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 76327 enter the hospital since 6 years ago for the first time?
# SQLQuery:
|
how did patient 54700 get admitted to the hospital first? | select admissions.admission_type from admissions where admissions.subject_id = 54700 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 54700 get admitted to the hospital first?
# SQLQuery:
|
how did patient 5849 go into the hospital the first time. | select admissions.admission_type from admissions where admissions.subject_id = 5849 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 5849 go into the hospital the first time.
# SQLQuery:
|
how did patient 75581 enter the hospital for the first time? | select admissions.admission_type from admissions where admissions.subject_id = 75581 order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 75581 enter the hospital for the first time?
# SQLQuery:
|
how did patient 40435 first get admitted in the hospital since 6 years ago? | select admissions.admission_type from admissions where admissions.subject_id = 40435 and datetime(admissions.admittime) >= datetime(current_time,'-6 year') order by admissions.admittime asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 40435 first get admitted in the hospital since 6 years ago?
# SQLQuery:
|
how did patient 2753 since 5 years ago last admitted to hospital? | select admissions.admission_type from admissions where admissions.subject_id = 2753 and datetime(admissions.admittime) >= datetime(current_time,'-5 year') order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 2753 since 5 years ago last admitted to hospital?
# SQLQuery:
|
how did patient 24517 last get admitted in the hospital? | select admissions.admission_type from admissions where admissions.subject_id = 24517 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 24517 last get admitted in the hospital?
# SQLQuery:
|
how did patient 14397 last be admitted to the hospital? | select admissions.admission_type from admissions where admissions.subject_id = 14397 order by admissions.admittime desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'LABEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), VALUE (VARCHAR), VALUENUM (INTEGER), VALUEUOM (VARCHAR), FLAG (VARCHAR), . The table is: Table containing laboratory test results for patients, including values, units, and flags.{'ROW_ID': 281, 'SUBJECT_ID': 3, 'HADM_ID': None, 'ITEMID': 50820, 'CHARTTIME': '2101-10-12 16:07:00', 'VALUE': '7.39', 'VALUENUM': 7.39, 'VALUEUOM': 'UNITS', 'FLAG': None}
Table 'DATETIMEEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), ITEMID (INTEGER), CHARTTIME (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), VALUE (VARCHAR), VALUEUOM (VARCHAR), WARNING (INTEGER), ERROR (INTEGER), RESULTSTATUS (INTEGER), STOPPED (VARCHAR), . The table is: Table containing datetime events for patients, including start and end times, item IDs, values, and other relevant information.{'ROW_ID': 711, 'SUBJECT_ID': 7657, 'HADM_ID': 121183, 'ICUSTAY_ID': 297945, 'ITEMID': 3411, 'CHARTTIME': '2172-03-14 11:00:00', 'STORETIME': '2172-03-14 11:52:00', 'CGID': 16446, 'VALUE': None, 'VALUEUOM': 'DATE', 'WARNING': None, 'ERROR': None, 'RESULTSTATUS': None, 'STOPPED': 'NOTSTOPD'}
Table 'PROCEDUREEVENTS_MV' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTTIME (VARCHAR), ENDTIME (VARCHAR), ITEMID (INTEGER), VALUE (INTEGER), VALUEUOM (VARCHAR), LOCATION (VARCHAR), LOCATIONCATEGORY (VARCHAR), STORETIME (VARCHAR), CGID (INTEGER), ORDERID (INTEGER), LINKORDERID (INTEGER), ORDERCATEGORYNAME (VARCHAR), SECONDARYORDERCATEGORYNAME (INTEGER), ORDERCATEGORYDESCRIPTION (VARCHAR), ISOPENBAG (INTEGER), CONTINUEINNEXTDEPT (INTEGER), CANCELREASON (INTEGER), STATUSDESCRIPTION (VARCHAR), COMMENTS_EDITEDBY (VARCHAR), COMMENTS_CANCELEDBY (VARCHAR), COMMENTS_DATE (VARCHAR), . The table is: Table containing medical procedure events with various details such as chart time, item ID, value, and unit of measurement.{'ROW_ID': 379, 'SUBJECT_ID': 29070, 'HADM_ID': 115071, 'ICUSTAY_ID': 232563, 'STARTTIME': '2145-03-12 23:04:00', 'ENDTIME': '2145-03-12 23:05:00', 'ITEMID': 225401, 'VALUE': 1, 'VALUEUOM': None, 'LOCATION': None, 'LOCATIONCATEGORY': None, 'STORETIME': '2145-03-12 23:04:00', 'CGID': 20855, 'ORDERID': 5092605, 'LINKORDERID': 5092605, 'ORDERCATEGORYNAME': 'PROCEDURES', 'SECONDARYORDERCATEGORYNAME': None, 'ORDERCATEGORYDESCRIPTION': 'ELECTROLYTES', 'ISOPENBAG': 0, 'CONTINUEINNEXTDEPT': 0, 'CANCELREASON': 0, 'STATUSDESCRIPTION': 'FINISHEDRUNNING', 'COMMENTS_EDITEDBY': None, 'COMMENTS_CANCELEDBY': None, 'COMMENTS_DATE': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: how did patient 14397 last be admitted to the hospital?
# SQLQuery:
|
what is the name of the medicine prescribed to patient 82132 for the last time since 12 months ago? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 82132 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-12 month') order by prescriptions.startdate desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of the medicine prescribed to patient 82132 for the last time since 12 months ago?
# SQLQuery:
|
what was the first medication prescribed to patient 22782 since 92 months ago? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 22782 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-92 month') order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the first medication prescribed to patient 22782 since 92 months ago?
# SQLQuery:
|
what was the last drug being prescribed for patient 24971? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24971 ) order by prescriptions.startdate desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the last drug being prescribed for patient 24971?
# SQLQuery:
|
what's the name of the drug that was first prescribed to patient 60136? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 60136 ) order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what's the name of the drug that was first prescribed to patient 60136?
# SQLQuery:
|
what is the name of the medication that patient 23760 was last prescribed when they came to the hospital last time? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23760 and admissions.dischtime is not null order by admissions.admittime desc limit 1 ) order by prescriptions.startdate desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of the medication that patient 23760 was last prescribed when they came to the hospital last time?
# SQLQuery:
|
what was the first prescription drug that patient 18517 was prescribed on the last hospital encounter? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18517 and admissions.dischtime is not null order by admissions.admittime desc limit 1 ) order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the first prescription drug that patient 18517 was prescribed on the last hospital encounter?
# SQLQuery:
|
what is the name of the drug patient 96728 was first prescribed since 179 months ago? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96728 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-179 month') order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of the drug patient 96728 was first prescribed since 179 months ago?
# SQLQuery:
|
what is the name of the drug that was first prescribed for patient 89840? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 89840 ) order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what is the name of the drug that was first prescribed for patient 89840?
# SQLQuery:
|
what was the first drug that patient 19059 was prescribed on their last hospital encounter? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 19059 and admissions.dischtime is not null order by admissions.admittime desc limit 1 ) order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the first drug that patient 19059 was prescribed on their last hospital encounter?
# SQLQuery:
|
what was the last medication that patient 5553 was prescribed? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 5553 ) order by prescriptions.startdate desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the last medication that patient 5553 was prescribed?
# SQLQuery:
|
what were the first drugs that were prescribed to patient 64185 since 137 months ago? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 64185 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-137 month') order by prescriptions.startdate asc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'D_LABITEMS' has columns: ROW_ID (INTEGER), ITEMID (INTEGER), LABEL (VARCHAR), FLUID (VARCHAR), CATEGORY (VARCHAR), LOINC_CODE (VARCHAR), . The table is: This table contains information about various laboratory items, including their fluid, category and loinc code.{'ROW_ID': 546, 'ITEMID': 51346, 'LABEL': 'BLASTS', 'FLUID': 'CEREBROSPINAL FLUID (CSF)', 'CATEGORY': 'HEMATOLOGY', 'LOINC_CODE': '26447-3'}
Table 'PROCEDURES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (INTEGER), . The table is: ICD-9 procedure codes with short and long titles{'ROW_ID': 944, 'SUBJECT_ID': 62641, 'HADM_ID': 154460, 'SEQ_NUM': 3, 'ICD9_CODE': 3404}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'MICROBIOLOGYEVENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), CHARTDATE (VARCHAR), CHARTTIME (VARCHAR), SPEC_ITEMID (INTEGER), SPEC_TYPE_DESC (VARCHAR), ORG_ITEMID (INTEGER), ORG_NAME (VARCHAR), ISOLATE_NUM (INTEGER), AB_ITEMID (INTEGER), AB_NAME (VARCHAR), DILUTION_TEXT (VARCHAR), DILUTION_COMPARISON (VARCHAR), DILUTION_VALUE (INTEGER), INTERPRETATION (VARCHAR), . The table is: Table containing various medical event labels and their corresponding item IDs.{'ROW_ID': 744, 'SUBJECT_ID': 96, 'HADM_ID': 170324, 'CHARTDATE': '2156-04-13 00:00:00', 'CHARTTIME': '2156-04-13 14:18:00', 'SPEC_ITEMID': 70021, 'SPEC_TYPE_DESC': 'BRONCHOALVEOLAR LAVAGE', 'ORG_ITEMID': 80026, 'ORG_NAME': 'PSEUDOMONAS AERUGINOSA', 'ISOLATE_NUM': 1, 'AB_ITEMID': None, 'AB_NAME': None, 'DILUTION_TEXT': None, 'DILUTION_COMPARISON': None, 'DILUTION_VALUE': None, 'INTERPRETATION': None}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what were the first drugs that were prescribed to patient 64185 since 137 months ago?
# SQLQuery:
|
what was the name of the medication that patient 97733 was prescribed for the last time since 1 month ago? | select prescriptions.drug from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 97733 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-1 month') order by prescriptions.startdate desc limit 1 | Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data.
Instructions:
1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours.
2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome.
3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity.
4. Use start time instead of end time to sort time if the question is related to first or last time.
5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null.
6. Please distinguish admission location and admission type and choose the correct columns based on the content and question.
7. Only output the sql query, remove other words.
8. Please carefully review the detail of each table and give the correct SQL that answers the questions.
# For the current question, only use tables listed below.
# Table 'PRESCRIPTIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), STARTDATE (VARCHAR), ENDDATE (VARCHAR), DRUG_TYPE (VARCHAR), DRUG (VARCHAR), DRUG_NAME_POE (VARCHAR), DRUG_NAME_GENERIC (VARCHAR), FORMULARY_DRUG_CD (VARCHAR), GSN (VARCHAR), NDC (INTEGER), PROD_STRENGTH (VARCHAR), DOSE_VAL_RX (VARCHAR), DOSE_UNIT_RX (VARCHAR), FORM_VAL_DISP (VARCHAR), FORM_UNIT_DISP (VARCHAR), ROUTE (VARCHAR), . The table is: This table contains information about prescriptions, including the drug type, name, dosage, and route of administration.{'ROW_ID': 2214776, 'SUBJECT_ID': 6, 'HADM_ID': 107064, 'ICUSTAY_ID': None, 'STARTDATE': '2175-06-11 00:00:00', 'ENDDATE': '2175-06-12 00:00:00', 'DRUG_TYPE': 'MAIN', 'DRUG': 'TACROLIMUS', 'DRUG_NAME_POE': 'TACROLIMUS', 'DRUG_NAME_GENERIC': 'TACROLIMUS', 'FORMULARY_DRUG_CD': 'TACR1', 'GSN': '021796', 'NDC': 469061711, 'PROD_STRENGTH': '1MG CAPSULE', 'DOSE_VAL_RX': '2', 'DOSE_UNIT_RX': 'MG', 'FORM_VAL_DISP': '2', 'FORM_UNIT_DISP': 'CAP', 'ROUTE': 'PO'}
Table 'PATIENTS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), GENDER (VARCHAR), DOB (VARCHAR), DOD (VARCHAR), DOD_HOSP (VARCHAR), DOD_SSN (VARCHAR), EXPIRE_FLAG (INTEGER), . The table is: Information about patients including demographics and dates of birth and death.{'ROW_ID': 234, 'SUBJECT_ID': 249, 'GENDER': 'F', 'DOB': '2075-03-13 00:00:00', 'DOD': None, 'DOD_HOSP': None, 'DOD_SSN': None, 'EXPIRE_FLAG': 0}
Table 'D_ICD_DIAGNOSES' has columns: ROW_ID (INTEGER), ICD9_CODE (VARCHAR), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: Table containing ICD-9 diagnosis codes for patients{'ROW_ID': 174, 'ICD9_CODE': '01166', 'SHORT_TITLE': 'TB PNEUMONIA-OTH TEST', 'LONG_TITLE': 'TUBERCULOUS PNEUMONIA [ANY FORM], TUBERCLE BACILLI NOT FOUND BY BACTERIOLOGICAL OR HISTOLOGICAL EXAMINATION, BUT TUBERCULOSIS CONFIRMED BY OTHER METHODS [INOCULATION OF ANIMALS]'}
Table 'ADMISSIONS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ADMITTIME (VARCHAR), DISCHTIME (VARCHAR), DEATHTIME (VARCHAR), ADMISSION_TYPE (VARCHAR), ADMISSION_LOCATION (VARCHAR), DISCHARGE_LOCATION (VARCHAR), INSURANCE (VARCHAR), LANGUAGE (VARCHAR), RELIGION (VARCHAR), MARITAL_STATUS (VARCHAR), ETHNICITY (VARCHAR), EDREGTIME (VARCHAR), EDOUTTIME (VARCHAR), DIAGNOSIS (VARCHAR), HOSPITAL_EXPIRE_FLAG (INTEGER), HAS_CHARTEVENTS_DATA (INTEGER), . The table is: Table containing patient admission information, including demographic details and dates of birth and death.{'ROW_ID': 21, 'SUBJECT_ID': 22, 'HADM_ID': 165315, 'ADMITTIME': '2196-04-09 12:26:00', 'DISCHTIME': '2196-04-10 15:54:00', 'DEATHTIME': None, 'ADMISSION_TYPE': 'EMERGENCY', 'ADMISSION_LOCATION': 'EMERGENCY ROOM ADMIT', 'DISCHARGE_LOCATION': 'DISC-TRAN CANCER/CHLDRN H', 'INSURANCE': 'PRIVATE', 'LANGUAGE': None, 'RELIGION': 'UNOBTAINABLE', 'MARITAL_STATUS': 'MARRIED', 'ETHNICITY': 'WHITE', 'EDREGTIME': '2196-04-09 10:06:00', 'EDOUTTIME': '2196-04-09 13:24:00', 'DIAGNOSIS': 'BENZODIAZEPINE OVERDOSE', 'HOSPITAL_EXPIRE_FLAG': 0, 'HAS_CHARTEVENTS_DATA': 1}
Table 'ICUSTAYS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), FIRST_CAREUNIT (VARCHAR), LAST_CAREUNIT (VARCHAR), FIRST_WARDID (INTEGER), LAST_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: This table contains information about ICU stays, including admission and discharge times, patient demographics, and hospital information.{'ROW_ID': 365, 'SUBJECT_ID': 268, 'HADM_ID': 110404, 'ICUSTAY_ID': 280836, 'DBSOURCE': 'CAREVUE', 'FIRST_CAREUNIT': 'MICU', 'LAST_CAREUNIT': 'MICU', 'FIRST_WARDID': 52, 'LAST_WARDID': 52, 'INTIME': '2198-02-14 23:27:38', 'OUTTIME': '2198-02-18 05:26:11', 'LOS': 3.249}
Table 'DIAGNOSES_ICD' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SEQ_NUM (INTEGER), ICD9_CODE (VARCHAR), . The table is: This table contains diagnoses information with ICD9 codes.{'ROW_ID': 1297, 'SUBJECT_ID': 109, 'HADM_ID': 172335, 'SEQ_NUM': 1, 'ICD9_CODE': '40301'}
Table 'TRANSFERS' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), ICUSTAY_ID (INTEGER), DBSOURCE (VARCHAR), EVENTTYPE (VARCHAR), PREV_CAREUNIT (VARCHAR), CURR_CAREUNIT (VARCHAR), PREV_WARDID (INTEGER), CURR_WARDID (INTEGER), INTIME (VARCHAR), OUTTIME (VARCHAR), LOS (INTEGER), . The table is: Table containing patient transfer information, including care unit and ward ID changes, along with timestamps for admission, transfer, and discharge events.{'ROW_ID': 657, 'SUBJECT_ID': 111, 'HADM_ID': 192123, 'ICUSTAY_ID': 254245, 'DBSOURCE': 'CAREVUE', 'EVENTTYPE': 'TRANSFER', 'PREV_CAREUNIT': 'CCU', 'CURR_CAREUNIT': 'MICU', 'PREV_WARDID': 7, 'CURR_WARDID': 23, 'INTIME': '2142-04-29 15:27:11', 'OUTTIME': '2142-05-04 20:38:33', 'LOS': 125.19}
Table 'DRGCODES' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), DRG_TYPE (VARCHAR), DRG_CODE (INTEGER), DESCRIPTION (VARCHAR), DRG_SEVERITY (INTEGER), DRG_MORTALITY (INTEGER), . The table is: Table containing diagnosis-related group (DRG) codes and corresponding information{'ROW_ID': 342, 'SUBJECT_ID': 2491, 'HADM_ID': 144486, 'DRG_TYPE': 'HCFA', 'DRG_CODE': 28, 'DESCRIPTION': 'TRAUMATIC STUPOR & COMA, COMA <1 HR AGE >17 WITH COMPLICATIONS, COMORBIDITIES', 'DRG_SEVERITY': None, 'DRG_MORTALITY': None}
Table 'CALLOUT' has columns: ROW_ID (INTEGER), SUBJECT_ID (INTEGER), HADM_ID (INTEGER), SUBMIT_WARDID (INTEGER), SUBMIT_CAREUNIT (VARCHAR), CURR_WARDID (INTEGER), CURR_CAREUNIT (VARCHAR), CALLOUT_WARDID (INTEGER), CALLOUT_SERVICE (VARCHAR), REQUEST_TELE (INTEGER), REQUEST_RESP (INTEGER), REQUEST_CDIFF (INTEGER), REQUEST_MRSA (INTEGER), REQUEST_VRE (INTEGER), CALLOUT_STATUS (VARCHAR), CALLOUT_OUTCOME (VARCHAR), DISCHARGE_WARDID (INTEGER), ACKNOWLEDGE_STATUS (VARCHAR), CREATETIME (VARCHAR), UPDATETIME (VARCHAR), ACKNOWLEDGETIME (VARCHAR), OUTCOMETIME (VARCHAR), FIRSTRESERVATIONTIME (VARCHAR), CURRENTRESERVATIONTIME (VARCHAR), . The table is: This table contains information about callouts, including the ward and care unit, callout status, and outcome.{'ROW_ID': 402, 'SUBJECT_ID': 854, 'HADM_ID': 175684, 'SUBMIT_WARDID': 52, 'SUBMIT_CAREUNIT': None, 'CURR_WARDID': 29, 'CURR_CAREUNIT': 'MICU', 'CALLOUT_WARDID': 1, 'CALLOUT_SERVICE': 'MED', 'REQUEST_TELE': 0, 'REQUEST_RESP': 0, 'REQUEST_CDIFF': 0, 'REQUEST_MRSA': 0, 'REQUEST_VRE': 0, 'CALLOUT_STATUS': 'INACTIVE', 'CALLOUT_OUTCOME': 'DISCHARGED', 'DISCHARGE_WARDID': 29, 'ACKNOWLEDGE_STATUS': 'ACKNOWLEDGED', 'CREATETIME': '2146-10-05 13:16:55', 'UPDATETIME': '2146-10-05 13:16:55', 'ACKNOWLEDGETIME': '2146-10-05 13:24:00', 'OUTCOMETIME': '2146-10-05 18:55:22', 'FIRSTRESERVATIONTIME': '2146-10-05 15:27:44', 'CURRENTRESERVATIONTIME': None}
Table 'D_ICD_PROCEDURES' has columns: ROW_ID (INTEGER), ICD9_CODE (INTEGER), SHORT_TITLE (VARCHAR), LONG_TITLE (VARCHAR), . The table is: ICD9 procedure codes with short and long titles{'ROW_ID': 264, 'ICD9_CODE': 851, 'SHORT_TITLE': 'CANTHOTOMY', 'LONG_TITLE': 'CANTHOTOMY'}
'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER',
'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX',
'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'],
'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO',
'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'],
'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'],
'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'],
'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'],
'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME',
'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION',
'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION',
'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS',
'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'],
'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME',
'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME',
'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT',
'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'],
'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID',
'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE',
'ISERROR'],
# Question: what was the name of the medication that patient 97733 was prescribed for the last time since 1 month ago?
# SQLQuery:
|