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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 nodular lymphoma mult been diagnosed with patient 20589 during their last hospital visit? # 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 = 'nodular lymphoma mult' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 20589 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 65309 have hypertension 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 = 'hypertension nos' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 65309 )

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 59941 have aortocoronary bypass on the first 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 = '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: has patient 25815 had a cardiac dysrhythmias nec 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 = 'cardiac dysrhythmias nec' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25815 )

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 encounter, patient 68280 has been diagnosed with single lb in-hosp w/o cs? # 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 = 'single lb in-hosp w/o cs' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 68280 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 70267 was diagnosed with a cl skul base fx/brf coma? # 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 = 'cl skul base fx/brf coma' ) and diagnoses_icd.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 70267 )

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 14671 prescribed medication this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14671 ) and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 23224 had received medication since 6 years ago? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23224 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-6 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 31854 had any medication prescribed in 12/2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 31854 ) and strftime('%y-%m',prescriptions.startdate) = '2105-12'

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 4 years ago has patient 13473 received any medication? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 13473 ) and datetime(prescriptions.startdate) <= 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: was patient 26612 prescribed any medications until 2104? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26612 ) and strftime('%y',prescriptions.startdate) <= '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: did patient 11516 get a prescription for a drug until 2103? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 11516 ) and strftime('%y',prescriptions.startdate) <= '2103'

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 73652 been prescribed meds until 06/2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73652 ) and strftime('%y-%m',prescriptions.startdate) <= '2105-06'

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 27038 has received any medication when they came to the hospital last time? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27038 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: was there any medication prescribed to patient 14671 during this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14671 ) and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 any medicine prescribed in 04/last year for patient 18677? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18677 ) and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',prescriptions.startdate) = '04'

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 20000 been prescribed medication in 2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 20000 ) and strftime('%y',prescriptions.startdate) = '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: is patient 24762 given medication until 40 months ago? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 24762 ) and datetime(prescriptions.startdate) <= datetime(current_time,'-40 month')

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 99883 received meds in 12/this year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 99883 ) and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',prescriptions.startdate) = '12'

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 5 months ago, patient 3277 had received any medicine? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3277 ) and datetime(prescriptions.startdate) >= datetime(current_time,'-5 month')

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 86792 been prescribed any medications since 2101. # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 86792 ) and strftime('%y',prescriptions.startdate) >= '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: until 4 years ago, has patient 13473 received any medication? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 13473 ) and datetime(prescriptions.startdate) <= 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: is patient 50480 prescribed medication until 1 year ago? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 50480 ) and datetime(prescriptions.startdate) <= 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: is there any medication that patient 32160 received in 2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 32160 ) and strftime('%y',prescriptions.startdate) = '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: had any medication been prescribed to patient 80555 in 12/2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 80555 ) and strftime('%y-%m',prescriptions.startdate) = '2105-12'

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 any medicine prescribed to patient 13473 until 4 years ago? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 13473 ) and datetime(prescriptions.startdate) <= 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: has patient 73652 received a medication until 06/2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73652 ) and strftime('%y-%m',prescriptions.startdate) <= '2105-06'

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 26612 been prescribed a prescription of any drug until 2104? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26612 ) and strftime('%y',prescriptions.startdate) <= '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 26612 been prescribed a drug until 2104? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26612 ) and strftime('%y',prescriptions.startdate) <= '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 9294 was prescribed any medication during this year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 9294 ) and datetime(prescriptions.startdate,'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: was patient 27172 provided with any medication in this hospital visit? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27172 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: a medication has been prescribed to patient 57899 this year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 57899 ) and datetime(prescriptions.startdate,'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 any medication been prescribed to patient 17667 in this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 17667 ) and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 99747 get a prescription of any drug this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 99747 ) and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 any medications prescribed to patient 27038 when they came to the hospital last time? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27038 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 27146 received meds since 12/2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27146 ) and strftime('%y-%m',prescriptions.startdate) >= '2105-12'

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 any prescriptions been given since 5 years ago to patient 25951? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25951 ) and datetime(prescriptions.startdate) >= 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: was patient 82159 receiving until 05/2104 any medication? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 82159 ) and strftime('%y-%m',prescriptions.startdate) <= '2104-05'

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 any medication that patient 70950 received in 11/last year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 70950 ) and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',prescriptions.startdate) = '11'

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 patient 73075 prescribed medication in 12/last year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73075 ) and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',prescriptions.startdate) = '12'

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 any medication been prescribed to patient 73713 since 09/2102? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 73713 ) and strftime('%y-%m',prescriptions.startdate) >= '2102-09'

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: a medication has been prescribed to patient 14467 during the current hospital encounter? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14467 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: did patient 26793 have 0.9% sodium chloride prescribed in 2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26793 ) and prescriptions.drug = '0.9% sodium chloride' and strftime('%y',prescriptions.startdate) = '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: patient 3929 was prescribed sterile water in this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3929 ) and prescriptions.drug = 'sterile water' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 furosemide ever been prescribed to patient 1372 until 07/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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 the ampicillin-sulbactam prescribed to patient 1918 in their last hospital visit? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1918 and admissions.dischtime is not null order by admissions.admittime desc limit 1 ) and prescriptions.drug = 'ampicillin-sulbactam'

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: does furosemide have been prescribed to patient 1372 until 07/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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 04/this year, had nicardipine iv ever been prescribed to patient 77586? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 77586 ) and prescriptions.drug = 'nicardipine iv' and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',prescriptions.startdate) = '04'

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 their first hospital visit patient 27392 had been prescribed insulin? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27392 and admissions.dischtime is not null order by admissions.admittime asc limit 1 ) and prescriptions.drug = 'insulin'

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 the last month was calcium gluconate prescribed to patient 57023? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 57023 ) and prescriptions.drug = 'calcium gluconate' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-1 month')

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 patient 1372 ever prescribed furosemide until 07/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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, had ceftriaxone ever been prescribed to patient 77586? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 77586 ) and prescriptions.drug = 'ceftriaxone' and datetime(prescriptions.startdate) >= 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: is captopril prescribed since 2103 to patient 2518? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 2518 ) and prescriptions.drug = 'captopril' and strftime('%y',prescriptions.startdate) >= '2103'

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: does lr have been prescribed to patient 88254 in this year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 88254 ) and prescriptions.drug = 'lr' and datetime(prescriptions.startdate,'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 1372 been prescribed furosemide until 07/2101. # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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, had lorazepam ever been prescribed to patient 11095? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 11095 ) and prescriptions.drug = 'lorazepam' and strftime('%y',prescriptions.startdate) = '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: since 05/2104 was patient 12367 prescribed tramadol (ultram)? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12367 ) and prescriptions.drug = 'tramadol (ultram)' and strftime('%y-%m',prescriptions.startdate) >= '2104-05'

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 57023 been prescribed calcium gluconate in a month before. # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 57023 ) and prescriptions.drug = 'calcium gluconate' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-1 month')

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 1372 have furosemide prescribed until 07/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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 patient 96404 ever prescribed senna during the previous year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96404 ) and prescriptions.drug = 'senna' and datetime(prescriptions.startdate,'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: does magnesium sulfate have been prescribed to patient 2482 during this year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 2482 ) and prescriptions.drug = 'magnesium sulfate' and datetime(prescriptions.startdate,'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: was the senna prescribed to patient 26849 in 08/last year? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 26849 ) and prescriptions.drug = 'senna' and datetime(prescriptions.startdate,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',prescriptions.startdate) = '08'

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 patient 31854 ever prescribed potassium chloride in the current hospital visit? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 31854 and admissions.dischtime is null ) and prescriptions.drug = 'potassium chloride'

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 98517 prescribed atorvastatin? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 98517 ) and prescriptions.drug = 'atorvastatin'

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 07/2101 was patient 1372 prescribed furosemide? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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 calcium gluconate ever been prescribed to patient 57023 during a month before? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 57023 ) and prescriptions.drug = 'calcium gluconate' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-1 month')

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 the cyanocobalamin prescribed to patient 83062 in 2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 83062 ) and prescriptions.drug = 'cyanocobalamin' and strftime('%y',prescriptions.startdate) = '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: does hydrochlorothiazide have been prescribed to patient 85700 during this month? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 85700 ) and prescriptions.drug = 'hydrochlorothiazide' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 the furosemide prescribed to patient 1372 until 07/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1372 ) and prescriptions.drug = 'furosemide' and strftime('%y-%m',prescriptions.startdate) <= '2101-07'

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 the ipratropium bromide neb prescribed to patient 60347 on the first hospital visit? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 60347 and admissions.dischtime is not null order by admissions.admittime asc limit 1 ) and prescriptions.drug = 'ipratropium bromide neb'

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 52898 prescribed levofloxacin in 2105? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 52898 ) and prescriptions.drug = 'levofloxacin' and strftime('%y',prescriptions.startdate) = '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: during this month patient 15794 had been prescribed d5w? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 15794 ) and prescriptions.drug = 'd5w' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 17505 prescribed bisacodyl in 03/2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 17505 ) and prescriptions.drug = 'bisacodyl' and strftime('%y-%m',prescriptions.startdate) = '2101-03'

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 45612 have propofol prescribed until 2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 45612 ) and prescriptions.drug = 'propofol' and strftime('%y',prescriptions.startdate) <= '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: did patient 68233 have aspirin prescribed during their last hospital encounter? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 68233 and admissions.dischtime is not null order by admissions.admittime desc limit 1 ) and prescriptions.drug = 'aspirin'

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 terazosin ever been prescribed to patient 16572 until 2100? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 16572 ) and prescriptions.drug = 'terazosin' and strftime('%y',prescriptions.startdate) <= '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: when they visited the hospital first time, had ipratropium bromide neb ever been prescribed to patient 60347? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 60347 and admissions.dischtime is not null order by admissions.admittime asc limit 1 ) and prescriptions.drug = 'ipratropium bromide neb'

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 the ns prescribed to patient 27739 in 11/2103? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 27739 ) and prescriptions.drug = 'ns' and strftime('%y-%m',prescriptions.startdate) = '2103-11'

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 patient 45612 ever prescribed propofol until 2101? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 45612 ) and prescriptions.drug = 'propofol' and strftime('%y',prescriptions.startdate) <= '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: in 12/2105 was patient 51858 prescribed 5% dextrose? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 51858 ) and prescriptions.drug = '5% dextrose' and strftime('%y-%m',prescriptions.startdate) = '2105-12'

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 month was patient 14671 prescribed methadone? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14671 ) and prescriptions.drug = 'methadone' and datetime(prescriptions.startdate,'start of month') = datetime(current_time,'start of month','-0 month')

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 glucagon prescribed since 6 years ago to patient 28099? # SQLQuery:

select count(*)>0 from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 28099 ) and prescriptions.drug = 'glucagon' and datetime(prescriptions.startdate) >= datetime(current_time,'-6 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 10211 undergone the lab test during a year before? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 10211 ) and datetime(labevents.charttime,'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 18866 received during this hospital visit a laboratory test? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18866 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 1417 undergone any lab tests in the first hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1417 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 92721 received any laboratory testing since 2105? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 92721 ) and strftime('%y',labevents.charttime) >= '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 25590 have laboratory test in 02/this year? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 25590 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '02'

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 23436 ever had any lab test on their current hospital visit? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23436 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 4401 has received any lab tests during the current hospital encounter? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 4401 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 1417 had received any laboratory test during the first hospital encounter? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 1417 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: have patient 31854 received a lab test in 09/this year? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 31854 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-0 year') and strftime('%m',labevents.charttime) = '09'

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 13054 actually undergo any test labs in 2105? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 13054 ) and strftime('%y',labevents.charttime) = '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 6705 had any laboratory testing since 155 months ago? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 6705 ) and datetime(labevents.charttime) >= datetime(current_time,'-155 month')

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 23070 received lab tests in this month? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23070 ) and datetime(labevents.charttime,'start of month') = datetime(current_time,'start of month','-0 month')

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 23929 ever received any lab tests since 05/2102? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23929 ) and strftime('%y-%m',labevents.charttime) >= '2102-05'

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 83038 has received a lab test? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 83038 ) and strftime('%y',labevents.charttime) = '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: has patient 29806 undergone any lab testing when they came to the hospital first time? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 29806 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 8562 had laboratory tests in the previous month? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 8562 ) and datetime(labevents.charttime,'start of month') = datetime(current_time,'start of month','-1 month')

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 594 receive a laboratory test since 05/2104? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 594 ) and strftime('%y-%m',labevents.charttime) >= '2104-05'

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 20713 had undergone any lab tests in 03/last year? # SQLQuery:

select count(*)>0 from labevents where labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 20713 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',labevents.charttime) = '03'