Predicting 30-day readmissions with preadmission electronic health record data

Medical Care

Volumn 53, Issue 3, 2015, Pages 283-289

  Shadmi, Efrat ^a,b   Flaks Manov, Natalie ^b   Hoshen, Moshe ^b   Goldman, Orit ^b   Bitterman, Haim ^b,c   Balicer, Ran D ^b,d  

^a UNIVERSITY OF HAIFA   (Israel)

^b CLALIT HEALTH SERVICES   (Israel)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^d BEN GURION UNIVERSITY OF THE NEGEV   (Israel)

Author keywords

electronic health records; prediction models; readmission

Indexed keywords

ADULT; ARTICLE; BODY MASS; COHORT ANALYSIS; CONTROLLED STUDY; DECISION TREE; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH CARE UTILIZATION; HIGH RISK POPULATION; HOSPITAL ADMISSION; HOSPITAL READMISSION; HUMAN; ISRAEL; LENGTH OF STAY; LONG TERM CARE; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; PRIMARY MEDICAL CARE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; AGED; DECISION SUPPORT SYSTEM; EPIDEMIOLOGY; FORECASTING; HOSPITAL PATIENT; MIDDLE AGED; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT; PROCEDURES; STATISTICS AND NUMERICAL DATA;

ADULT; AGED; COHORT STUDIES; DECISION SUPPORT TECHNIQUES; ELECTRONIC HEALTH RECORDS; FORECASTING; HUMANS; INPATIENTS; ISRAEL; MIDDLE AGED; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT ADMISSION; PATIENT READMISSION; RETROSPECTIVE STUDIES; RISK ASSESSMENT;

EID: 84924043005     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0000000000000315     Document Type: Article

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