Length of stay predictions: Improvements through the use of automated laboratory and comorbidity variables

Medical Care

Volumn 48, Issue 8, 2010, Pages 739-744

  Liu, Vincent ^a   Kipnis, Patricia ^b,c   Gould, Michael K ^d   Escobar, Gabriel J ^b,e  

^a STANFORD UNIVERSITY   (United States)

^b DIVISION OF RESEARCH   (United States)

^c Kaiser Foundation Health Plan Inc   (United States)

^d UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^e KAISER PERMANENTE MEDICAL CENTER   (United States)

Author keywords

electronic medical records; inpatient care; length of stay; risk adjustment

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; COMORBIDITY; ELECTRONIC MEDICAL RECORD; FEMALE; HOSPITALIZATION; HUMAN; LABORATORY AUTOMATION; LENGTH OF STAY; MALE; PREDICTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SCORING SYSTEM;

CALIFORNIA; CLINICAL LABORATORY INFORMATION SYSTEMS; COMORBIDITY; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; LENGTH OF STAY; LINEAR MODELS; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTI-INSTITUTIONAL SYSTEMS; OUTCOME ASSESSMENT (HEALTH CARE); PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; RISK ADJUSTMENT; SEVERITY OF ILLNESS INDEX;

EID: 77954954080     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: 10.1097/MLR.0b013e3181e359f3     Document Type: Article

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