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b/rpdrToJSONPal.py |
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import json |
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import os |
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path = '/PHShome/ju601/crt/MGHpallcare/' |
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file_template = 'CL491_070915120556917455_MGH_' |
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out_path = path + '/json/' |
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def get_docs_empi_map(doc_type): |
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doc_file = path + file_template + doc_type + '.txt' |
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with open(doc_file, 'r') as f: |
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doc_text = f.read() |
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doc_array = doc_text.split('[report_end]') |
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doc_map = {} |
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for doc in doc_array: |
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empi = doc.split('\n')[1].split('|')[0] |
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if empi not in doc_map: |
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doc_map[empi] = [] |
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doc_map[empi].append(doc) |
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return doc_map |
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def get_struct_empi_map(doc_type): |
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doc_file = path + file_template + doc_type + '.txt' |
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with open(doc_file, 'r') as f: |
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doc_text = f.read() |
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doc_array = doc_text.split('\n') |
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doc_map = {} |
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keys = doc_array[0].split('|') |
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for row in doc_array[1:]: |
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cols = row.split('|') |
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empi = cols[0] |
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record = {} |
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try: |
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for i in range(3, len(keys)): |
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key = keys[i] |
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record[key] = cols[i] |
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except: |
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print 'Error for type:' + doc_type + ' column:' + str(i) + ' row:' + row |
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if empi not in doc_map: |
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doc_map[empi] = [] |
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doc_map[empi].append(record) |
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return doc_map |
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def get_patient_dem_info(): |
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# Get demographic text |
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dem_file = path + file_template + 'Dem.txt' |
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with open(dem_file, 'r') as f: |
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dem_text = f.read() |
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dem_array = dem_text.split('\n') |
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# Build dictionary |
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patients = {} |
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key_arr = dem_array[0].split('|') |
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for row in dem_array[1:]: |
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cols = row.strip().split('|') |
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if len(cols) == len(key_arr): |
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patient = {} |
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for (i, col) in enumerate(cols): |
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try: |
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if i == 2: |
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patient['MRNS'] = map(lambda x: x.strip(), col.strip().split(',')) |
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else: |
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patient[key_arr[i]] = col |
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except: |
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print('Error in contact dict build for row:') |
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print row |
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patients[patient['EMPI']] = patient |
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return patients |
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def get_mrn_to_empi(patients): |
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mrn_empi = {} |
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for empi in patients.keys(): |
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patient = patients[empi] |
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for mrn in patient['MRNS']: |
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mrn_empi[mrn] = empi |
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return mrn_empi |
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def parse_consultation_date_file(patients): |
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date_file = path + 'Date.txt' |
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mrn_to_empi = get_mrn_to_empi(patients) |
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patients_dates = {} |
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with open(date_file, 'r') as f: |
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date_arr = f.read().split('\n') |
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for row in date_arr: |
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row_arr = row.split(' ') |
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if len(row_arr) == 2: |
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(mrn, date) = row_arr |
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try: |
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empi = mrn_to_empi[mrn] |
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print empi |
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patient = patients[empi] |
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patient['Consult_Date'] = date |
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except KeyError: |
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print "Error parsing consult date for MRN:" + mrn |
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write_null_if_empty(patients, 'Consult_Date') |
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def write_null_if_empty(patients, key): |
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for empi in patients.keys(): |
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if key not in patients[empi]: |
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patients[empi][key] = None |
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if __name__ == "__main__": |
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# Do the conversion! |
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patients = get_patient_dem_info() |
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parse_consultation_date_file(patients) |
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# All unstructured report types: |
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# report_types = ['Car', 'Dis', 'End', 'Lno', 'Mic', 'Opn', 'Pat', 'Pul', 'Rad'] |
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# Only include the ones you anticipate using in the following array: |
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report_types = [] |
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for report_type in report_types: |
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report_map = get_docs_empi_map(report_type) |
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for patient in patients.keys(): |
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try: |
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patients[patient][report_type] = report_map[patient] |
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except: |
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patients[patient][report_type] = [] |
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print('Patient with empi:' + patient + ' doesnt have report for report_type:' + report_type) |
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# All structured report types: |
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# struct_reports = ['Dia', 'Enc', 'Lab', 'Lhm', 'Lme', 'Lpr', 'Lvs', 'Med', 'Phy', 'Prc', 'Prv', 'Rdt', 'Rnd', 'Trn'] |
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# Only include the ones you anticipate using in the following array: |
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struct_reports = ['Dia', 'Enc'] |
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for report_type in struct_reports: |
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report_map = get_struct_empi_map(report_type) |
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for patient in patients.keys(): |
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try: |
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patients[patient][report_type] = report_map[patient] |
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except: |
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patients[patient][report_type] = [] |
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print('Patient with empi:' + patient + ' doesnt have report for report_type:' + report_type) |
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# Final write of info |
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if not os.path.exists(out_path): |
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os.makedirs(out_path) |
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for key in patients.keys(): |
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with open(out_path + key + '.json','w') as f: |
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json.dump(patients[key], f) |