Modelling patient duration of stay to facilitate resource management of geriatric hospitals

Health Care Management Science

Volumn 5, Issue 4, 2002, Pages 313-319

  Marshall, A H ^a   McClean, S I ^b   Shapcott, C M ^b   Millard, P H ^c  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

^b UNIVERSITY OF ULSTER   (United Kingdom)

^c ST GEORGE S HOSPITAL   (United Kingdom)

Author keywords

Bayesian belief networks; Conditional phase type distributions; Duration of stay; Geriatric patients; Survival analysis

Indexed keywords

AGED; ARTICLE; BAYES THEOREM; DECISION SUPPORT SYSTEM; GERIATRIC ASSESSMENT; HEALTH CARE ORGANIZATION; HOSPITAL; HUMAN; LENGTH OF STAY; NATIONAL HEALTH SERVICE; NONBIOLOGICAL MODEL; ORGANIZATION AND MANAGEMENT; STATISTICS; SURVIVAL; UNITED KINGDOM; UTILIZATION REVIEW;

AGED; BAYES THEOREM; DECISION SUPPORT TECHNIQUES; GERIATRIC ASSESSMENT; GREAT BRITAIN; HEALTH CARE RATIONING; HOSPITALS, SPECIAL; HUMANS; LENGTH OF STAY; MODELS, ORGANIZATIONAL; STATE MEDICINE; SURVIVAL ANALYSIS;

EID: 0036831561     PISSN: 13869620     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1020394525938     Document Type: Article

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