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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: how many medications is patient 3125 ordered during this month? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 3125 ) 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: number of times patient 12917 has been prescribed d5w since 04/2103. # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12917 ) and prescriptions.drug = 'd5w' and strftime('%y-%m',prescriptions.startdate) >= '2103-04'

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: how many times warfarin was prescribed to patient 30826 since 2105? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 30826 ) and prescriptions.drug = 'warfarin' 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: how many times lr was prescribed to patient 76275 during this year? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 76275 ) 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: how many times is methadone prescribed for patient 12274 this year? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 12274 ) and prescriptions.drug = 'methadone' 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: how many times is pantoprazole ordered for patient 42956 until 158 months ago? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 42956 ) and prescriptions.drug = 'pantoprazole' and datetime(prescriptions.startdate) <= datetime(current_time,'-158 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: how many times is levofloxacin ordered to patient 14203 until 2 years ago? # SQLQuery:

select count(*) from prescriptions where prescriptions.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14203 ) and prescriptions.drug = 'levofloxacin' and datetime(prescriptions.startdate) <= datetime(current_time,'-2 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: count the number of times patient 96404 has received sodium lab tests in 09/last year. # SQLQuery:

select count(*) from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'sodium' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 96404 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 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: how many times has patient 20251 received a calcium, total laboratory test in 05/last year? # SQLQuery:

select count(*) from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'calcium, total' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 20251 ) and datetime(labevents.charttime,'start of year') = datetime(current_time,'start of year','-1 year') and strftime('%m',labevents.charttime) = '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: how many times has a pt test been given to patient 23002 since 2 years ago? # SQLQuery:

select count(*) from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'pt' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 23002 ) and datetime(labevents.charttime) >= datetime(current_time,'-2 year')

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully review the detail of each table and give the correct SQL that answers the questions. # For the current question, only use tables listed below. # { 'PATIENTS': ['ROW_ID', 'SUBJECT_ID', 'GENDER', 'DOB', 'DOD', 'DOD_HOSP', 'DOD_SSN', 'EXPIRE_FLAG'], 'ADMISSIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ADMITTIME', 'DISCHTIME', 'DEATHTIME', 'ADMISSION_TYPE', 'ADMISSION_LOCATION', 'DISCHARGE_LOCATION', 'INSURANCE', 'LANGUAGE', 'RELIGION', 'MARITAL_STATUS', 'ETHNICITY', 'EDREGTIME', 'EDOUTTIME', 'DIAGNOSIS', 'HOSPITAL_EXPIRE_FLAG', 'HAS_CHARTEVENTS_DATA'], 'ICUSTAYS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'FIRST_CAREUNIT', 'LAST_CAREUNIT', 'FIRST_WARDID', 'LAST_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'CHARTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUENUM', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'LABEVENTS':['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ITEMID', 'CHARTTIME', 'VALUE', 'VALUENUM', 'VALUEUOM', 'FLAG'], 'PRESCRIPTIONS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTDATE', 'ENDDATE', 'DRUG_TYPE', 'DRUG', 'DRUG_NAME_POE', 'DRUG_NAME_GENERIC', 'FORMULARY_DRUG_CD', 'GSN', 'NDC', 'PROD_STRENGTH', 'DOSE_VAL_RX', 'DOSE_UNIT_RX', 'FORM_VAL_DISP', 'FORM_UNIT_DISP', 'ROUTE'], 'CALLOUT': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SUBMIT_WARDID', 'SUBMIT_CAREUNIT', 'CURR_WARDID', 'CURR_CAREUNIT', 'CALLOUT_WARDID', 'CALLOUT_SERVICE', 'REQUEST_TELE', 'REQUEST_RESP', 'REQUEST_CDIFF', 'REQUEST_MRSA', 'REQUEST_VRE', 'CALLOUT_STATUS', 'CALLOUT_OUTCOME', 'DISCHARGE_WARDID', 'ACKNOWLEDGE_STATUS', 'CREATETIME', 'UPDATETIME', 'ACKNOWLEDGETIME', 'OUTCOMETIME', 'FIRSTRESERVATIONTIME', 'CURRENTRESERVATIONTIME'], 'CAREGIVER': ['ROW_ID', 'CGID', 'LABEL', 'DESCRIPTION'], 'D_CPT': ['ROW_ID', 'CATEGORY', 'SECTIONRANGE', 'SECTIONHEADER', 'SUBSECTIONRANGE', 'SUBSECTIONHEADER', 'CODESUFFIX', 'MINCODEINSUBSECTION', 'MAXCODEINSUBSECTION'], 'D_ITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'ABBREVIATION', 'DBSOURCE', 'LINKSTO', 'CATEGORY', 'UNITNAME', 'PARAM_TYPE', 'CONCEPTID'], 'D_LABITEMS': ['ROW_ID', 'ITEMID', 'LABEL', 'FLUID', 'CATEGORY', 'LOINC_CODE'], 'DATETIMEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'ITEMID', 'CHARTTIME', 'STORETIME', 'CGID', 'VALUE', 'VALUEUOM', 'WARNING', 'ERROR', 'RESULTSTATUS', 'STOPPED'], 'DRGCODES': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'DRG_TYPE', 'DRG_CODE', 'DESCRIPTION', 'DRG_SEVERITY', 'DRG_MORTALITY'], 'MICROBIOLOGYEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'SPEC_ITEMID', 'SPEC_TYPE_DESC', 'ORG_ITEMID', 'ORG_NAME', 'ISOLATE_NUM', 'AB_ITEMID', 'AB_NAME', 'DILUTION_TEXT', 'DILUTION_COMPARISON', 'DILUTION_VALUE', 'INTERPRETATION'], 'NOTEEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'CHARTDATE', 'CHARTTIME', 'STORETIME', 'CATEGORY', 'DESCRIPTION', 'CGID', 'ISERROR', 'TEXT'], 'OUTPUTEVENTS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'CHARTTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'STORETIME', 'CGID', 'STOPPED', 'NEWBOTTLE', 'ISERROR'], 'PROCEDUREEVENTS_MV': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'STARTTIME', 'ENDTIME', 'ITEMID', 'VALUE', 'VALUEUOM', 'LOCATION', 'LOCATIONCATEGORY', 'STORETIME', 'CGID', 'ORDERID', 'LINKORDERID', 'ORDERCATEGORYNAME', 'SECONDARYORDERCATEGORYNAME', 'ORDERCATEGORYDESCRIPTION', 'ISOPENBAG', 'CONTINUEINNEXTDEPT', 'CANCELREASON', 'STATUSDESCRIPTION', 'COMMENTS_EDITEDBY', 'COMMENTS_CANCELEDBY', 'COMMENTS_DATE'], 'TRANSFERS': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'ICUSTAY_ID', 'DBSOURCE', 'EVENTTYPE', 'PREV_CAREUNIT', 'CURR_CAREUNIT', 'PREV_WARDID', 'CURR_WARDID', 'INTIME', 'OUTTIME', 'LOS'], 'PROCEDURES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_PROCEDURES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], 'DIAGNOSES_ICD': ['ROW_ID', 'SUBJECT_ID', 'HADM_ID', 'SEQ_NUM', 'ICD9_CODE'], 'D_ICD_DIAGNOSES': ['ROW_ID', 'ICD9_CODE', 'SHORT_TITLE', 'LONG_TITLE'], } # Question: how many times does patient 72647 have a chloride test in this year? # SQLQuery:

select count(*) from labevents where labevents.itemid in ( select d_labitems.itemid from d_labitems where d_labitems.label = 'chloride' ) and labevents.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 72647 ) and datetime(labevents.charttime,'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: how many times have patient 54386 produced a condom cath? # SQLQuery:

select count(*) from outputevents where outputevents.icustay_id in ( select icustays.icustay_id from icustays where icustays.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 54386 ) ) and outputevents.itemid in ( select d_items.itemid from d_items where d_items.label = 'condom cath' and d_items.linksto = 'outputevents' )

Given an input question, first create a syntactically correct sqlite query that directly answers the question, ensuring any necessary calculations are included in the SQL syntax. If the question is about whether a patient has ever done something (e.g., "Has the patient ever…"), use SELECT COUNT(*) > 0 to return a Boolean-like result. Then review the query output to determine the answer. Order the results by a relevant column if it helps provide the most informative data. Instructions: 1. Time-Related Calculations: For questions that require time-based calculations, perform these directly within the SQL query. Please focus on day instead of hours. 2. Boolean Check for Existence: For questions asking if a patient has ever done or had something, use SELECT COUNT()>0 to determine existence as a Boolean outcome. 3. Schema Adherence: Use only the column names visible in the provided schema, qualifying columns with their table name if needed to avoid ambiguity. 4. Use start time instead of end time to sort time if the question is related to first or last time. 5. If the question is about one admission, please make sure the results is related is related to an actual admission id that is not null. 6. Please distinguish admission location and admission type and choose the correct columns based on the content and question. 7. Only output the sql query, remove other words. 8. Please carefully 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: count the number of times that patient 14749 has had urine . output until 08/2104. # SQLQuery:

select count(*) from outputevents where outputevents.icustay_id in ( select icustays.icustay_id from icustays where icustays.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 14749 ) ) and outputevents.itemid in ( select d_items.itemid from d_items where d_items.label = 'urine .' and d_items.linksto = 'outputevents' ) and strftime('%y-%m',outputevents.charttime) <= '2104-08'

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: how many times does patient 18223 have a cerebral ventricular #1 output since 12/2101? # SQLQuery:

select count(*) from outputevents where outputevents.icustay_id in ( select icustays.icustay_id from icustays where icustays.hadm_id in ( select admissions.hadm_id from admissions where admissions.subject_id = 18223 ) ) and outputevents.itemid in ( select d_items.itemid from d_items where d_items.label = 'cerebral ventricular #1' and d_items.linksto = 'outputevents' ) and strftime('%y-%m',outputevents.charttime) >= '2101-12'