Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: Validation and comparison to existing models Clinical decision-making, knowledge support systems, and theory

BMC Medical Informatics and Decision Making

Volumn 15, Issue 1, 2015, Pages

  Amarasingham, Ruben ^a,b   Velasco, Ferdinand ^c   Xie, Bin ^a   Clark, Christopher ^a   Ma, Ying ^a   Zhang, Song ^d   Bhat, Deepa ^e   Lucena, Brian ^a   Huesch, Marco ^e,f,g   Halm, Ethan A ^b  

^a Parkland Center for Clinical Innovation   (United States)

^b UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^c Texas Health Resources   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^f DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g DUKE UNIVERSITY   (United States)

Author keywords

All cause readmission; Electronic medical record; Predictive model; Readmission

Indexed keywords

ADULT; COMPARATIVE STUDY; ELECTRONIC HEALTH RECORD; HOSPITAL DISCHARGE; HOSPITAL READMISSION; HUMAN; MORTALITY; RISK ASSESSMENT; STATISTICS AND NUMERICAL DATA; TEXAS; THEORETICAL MODEL; VALIDATION STUDY;

ADULT; ELECTRONIC HEALTH RECORDS; HUMANS; MODELS, THEORETICAL; MORTALITY; PATIENT DISCHARGE; PATIENT READMISSION; RISK ASSESSMENT; TEXAS;

EID: 84931075602     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-015-0162-6     Document Type: Article

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