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

被引：29

作者：

Marshall A.H. ^{[1
]}

McClean S.I. ^{[2
]}

Shapcott C.M. ^{[2
]}

Millard P.H. ^{[3
]}

机构：

[1] Department of Applied Mathematics and Theoretical Physics, Queen's University of Belfast

[2] School of Information and Software Engineering, Faculty of Informatics, University of Ulster

[3] Department of Geriatric Medicine, St. George's Hospital, London

来源：

Health Care Management Science | 2002年 / 5卷 / 4期

关键词：

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

D O I：

10.1023/A:1020394525938

中图分类号：

学科分类号：

摘要：

A fundamental aspect of health care management is the effective allocation of resources. This is of particular importance in geriatric hospitals where elderly patients tend to have more complex needs. Hospital managers would benefit immensely if they had advance knowledge of patient duration of stay in hospital. Managers could assess the costs of patient care and make allowances for these in their budget. In this paper, we tackle this important problem via a model which predicts the duration of stay distribution of patients in hospital. The approach uses phase-type distributions conditioned on a Bayesian belief network. © 2002 Kluwer Academic Publishers.

引用

页码：313 / 319

页数：6

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