Discharge recommendation based on a novel technique of homeostatic analysis

Journal of the American Medical Informatics Association

Volumn 24, Issue 1, 2017, Pages 24-29

  Calvert, Jacob S ^a   Price, Daniel A ^a   Barton, Christopher W ^b   Chettipally, Uli K ^b,c   Das, Ritankar ^a  

^a DASCENA INC   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c KAISER PERMANENTE   (United States)

Author keywords

Clinical decision support systems; Computer assisted diagnosis; Length of stay; Medical informatics; Patient discharge

Indexed keywords

CLINICAL DECISION SUPPORT SYSTEM; CLINICAL STUDY; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; HOSPITAL DISCHARGE; HUMAN; INTENSIVE CARE; LENGTH OF STAY; MEDICAL INFORMATICS; MONITORING; PATIENT CODING; PATIENT SAFETY; PREDICTION; RISK FACTOR; TIME SERIES ANALYSIS; ADULT; DECISION SUPPORT SYSTEM; EMERGENCY HEALTH SERVICE; INFORMATION PROCESSING; INTENSIVE CARE UNIT; PROCEDURES; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; RISK ASSESSMENT;

ADULT; DATASETS AS TOPIC; DECISION MAKING, COMPUTER-ASSISTED; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; INTENSIVE CARE UNITS; LENGTH OF STAY; PATIENT DISCHARGE; PROGNOSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; ROC CURVE; TRIAGE;

EID: 85014773638     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1093/jamia/ocw014     Document Type: Article

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