Datasets:

adjeNole

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EHRSQL_DIRECT_PROMPT

like 0

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have patient 59275 got admitted to the hospital until 1 year ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 59275 and datetime(admissions.admittime) <= datetime(current_time,'-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 66015 been admitted since 2104 to the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 66015 and strftime('%y',admissions.admittime) >= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 8245 was admitted to hospital the last year? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 8245 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 9294 been admitted in hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 9294

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 31141 been admitted to a hospital in 2105? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 31141 and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 80858 until 2104 get admitted to hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 80858 and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: since 1 year ago, patient 19144 has been admitted into the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 19144 and datetime(admissions.admittime) >= datetime(current_time,'-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 80858 been admitted to hospital until 2104? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 80858 and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: until 2104, patient 80858 got admitted to the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 80858 and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 87232 got admitted to the hospital since 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 87232 and datetime(admissions.admittime) >= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in 2105, patient 28600 has made an admission? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 28600 and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: until 1 year ago, has patient 59275 been admitted into the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 59275 and datetime(admissions.admittime) <= datetime(current_time,'-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 80858 until 2104 has been admitted to the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 80858 and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: during this year did patient 3097 visit the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 3097 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-0 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 80858 has made an admission until 2104? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 80858 and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: the previous year patient 23475 went to the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 23475 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in this year patient 3097 has been admitted to the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 3097 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-0 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 25365 been admitted to the hospital in 2105? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 25365 and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 18159, came to the hospital since 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 18159 and datetime(admissions.admittime) >= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 51858 has made an admission since 2104? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 51858 and strftime('%y',admissions.admittime) >= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 15135 was admitted to hospital since 2 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 15135 and datetime(admissions.admittime) >= datetime(current_time,'-2 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 90019 had been admitted to the hospital since 5 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 90019 and datetime(admissions.admittime) >= datetime(current_time,'-5 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 55247 been admitted to hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 55247

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: since 4 years ago, patient 87733 has been admitted into the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 87733 and datetime(admissions.admittime) >= datetime(current_time,'-4 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 59049 had been admitted to the hospital since 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 59049 and datetime(admissions.admittime) >= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 27172 been admitted in 2105 in hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27172 and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in this year, patient 49654 has made an admission? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 49654 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-0 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in this year did patient 30228 visit the hospital? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 30228 and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-0 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: until 2104, was patient 2700 in an emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 2700 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: on the last hospital visit, has patient 27964 been admitted to an er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27964 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 65582 come to the er during the current hospital encounter? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 65582 and admissions.admission_location = 'emergency room admit' and admissions.dischtime is null

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have patient 69819 been admitted to an emergency room in their last hospital encounter. # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 69819 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 41014 been admitted to a hospital er the last year? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 41014 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: was patient 63537 admitted into an emergency room since 2102? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 63537 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) >= '2102'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 40707 in 2105 been admitted to an emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 40707 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have patient 5520 been to the er during the last year? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 5520 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 28484 visit the emergency room until 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 28484 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime) <= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have patient 5520 been to the emergency room in the last year? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 5520 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: were patient 27964 in the emergency room when they came to the hospital last time? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27964 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 31260 been to the e.r. in 2105? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 31260 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) = '2105'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: the last year, patient 84042 visited an emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 84042 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime,'start of year') = datetime(current_time,'start of year','-1 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 2753 been admitted into an er since 5 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 2753 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime) >= datetime(current_time,'-5 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 2700 visited the er until 2104? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 2700 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) <= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: on the first hospital encounter, did patient 18866 go to an er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 18866 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 2127 been at an er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 2127 and admissions.admission_location = 'emergency room admit'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in the last hospital visit patient 27964 had been in an emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27964 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 94229 come into an er during this hospital encounter? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 94229 and admissions.admission_location = 'emergency room admit' and admissions.dischtime is null

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 52456 been admitted to the er since 2100? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 52456 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) >= '2100'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 49140 was during the first hospital visit in the emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 49140 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 18866 has been in the emergency department when they visited the hospital first time? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 18866 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 28484 visited an emergency room until 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 28484 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime) <= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: since 2101, had patient 94956 been in an er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 94956 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) >= '2101'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 27964 was on the last hospital encounter in the er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27964 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: on the current hospital visit, has patient 65582 been admitted to an er? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 65582 and admissions.admission_location = 'emergency room admit' and admissions.dischtime is null

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 31473 was since 2104 in the emergency room? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 31473 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) >= '2104'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: were patient 28447 in the er on this hospital encounter? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 28447 and admissions.admission_location = 'emergency room admit' and admissions.dischtime is null

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 28484 visited the er until 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 28484 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime) <= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 27964 been admitted into an emergency room during the last hospital visit? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 27964 and admissions.admission_location = 'emergency room admit' 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 42829 visited an emergency room during this hospital visit? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 42829 and admissions.admission_location = 'emergency room admit' and admissions.dischtime is null

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have patient 3118 been to the er since 3 years ago? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 3118 and admissions.admission_location = 'emergency room admit' and datetime(admissions.admittime) >= datetime(current_time,'-3 year')

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 53673 been at an er since 2100? # SQLQuery:

select count(*)>0 from admissions where admissions.subject_id = 53673 and admissions.admission_location = 'emergency room admit' and strftime('%y',admissions.admittime) >= '2100'

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 3677 had any procedures undergone in the last hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3677 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 20000 ever have a surgery in their last hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 20000 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has any procedure been performed on patient 4758? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 4758 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 60763 undergone any procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 60763 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 3677 have a procedure in their last hospital encounter. # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3677 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 23930 go through any procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23930 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 18223 had surgery on the first hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18223 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: when they came to the hospital first time has patient 18223 had any procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18223 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: when they came to the hospital first time has patient 24921 received surgery? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24921 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: is there a procedure that patient 24921 underwent during the first hospital visit? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24921 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has there been any surgery on patient 18223 when they came to the hospital first time? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18223 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 24921 undergone any medical procedure on their first hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24921 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has any procedure been performed on patient 3677 during the last hospital visit? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3677 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 21074 has undergone a endo rem bronch devc/sub procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'endo rem bronch devc/sub' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 21074 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in their first hospital encounter had patient 9038 received a sm bowel endoscopy nec procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'sm bowel endoscopy nec' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9038 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 2536 had a enterostomy nec? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'enterostomy nec' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 2536 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 42454 had any cont inv mec ven 96+ hrs treatment? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'cont inv mec ven 96+ hrs' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 42454 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: was patient 29971 given a rt/left heart card cath treatment? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'rt/left heart card cath' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 29971 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 9038 gone through a sm bowel endoscopy nec procedure during the first hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'sm bowel endoscopy nec' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9038 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 21074 ever had a endo rem bronch devc/sub. # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'endo rem bronch devc/sub' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 21074 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 9038 ever undergo sm bowel endoscopy nec during the first hospital encounter? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'sm bowel endoscopy nec' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9038 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: when they came to the hospital first time, has patient 9038 had a sm bowel endoscopy nec procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'sm bowel endoscopy nec' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9038 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 27463 undergone cardiac mapping procedure? # SQLQuery:

select count(*)>0 from procedures_icd where procedures_icd.icd9_code = ( select d_icd_procedures.icd9_code from d_icd_procedures where d_icd_procedures.short_title = 'cardiac mapping' ) and procedures_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27463 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 6440 has received a diagnosis? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 6440 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 12775 receive a diagnosis on the current hospital visit? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12775 and admissions.dischtime is null )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: is there anything patient 59049 has had a diagnosis with? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 59049 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: was patient 52604 given any sort of diagnosis during their first hospital encounter? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52604 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 52604 get diagnosed with a disease on their first hospital encounter? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52604 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in this hospital encounter, had patient 83182 been diagnosed with any disease? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 83182 and admissions.dischtime is null )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 12410 ever received a diagnosis? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12410 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: patient 52604 got any sort of diagnosis in the first hospital encounter? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52604 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 95892 been diagnosed with a disease in their last hospital visit? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 95892 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 12454 been diagnosed with any disease on their last hospital visit? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12454 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: have diagnosed patient 32153 with renal & ureteral dis nos during their current hospital encounter? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'renal & ureteral dis nos' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 32153 and admissions.dischtime is null )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: had patient 32153 received in the current hospital encounter a diagnosis of renal & ureteral dis nos? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'renal & ureteral dis nos' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 32153 and admissions.dischtime is null )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: has patient 73913 been diagnosed with hyposmolality? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'hyposmolality' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73913 )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in their first hospital visit, has patient 59941 received a aortocoronary bypass diagnosis? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'aortocoronary bypass' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id 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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: did patient 97330 have a obstructive sleep apnea diagnosis during their current hospital encounter? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'obstructive sleep apnea' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 97330 and admissions.dischtime is null )

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. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], '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'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], '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'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], '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'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], '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'], } # Question: in the first hospital visit patient 59941 has been diagnosed with aortocoronary bypass? # SQLQuery:

select count(*)>0 from diagnoses_icd where diagnoses_icd.icd9_code = ( select d_icd_diagnoses.icd9_code from d_icd_diagnoses where d_icd_diagnoses.short_title = 'aortocoronary bypass' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 59941 and admissions.dischtime is not null order by admissions.admittime asc limit 1 )