Using Coxian Phase-Type Distributions to Identify Patient Characteristics for Duration of Stay in Hospital

被引：52

作者：

Adele H. Marshall

Sally I. McClean

机构：

[1] Queen’s University of Belfast,Department of Applied Mathematics and Theoretical Physics, David Bates Building

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

来源：

Health Care Management Science | 2004年 / 7卷 / 4期

关键词：

stochastic modelling; Coxian phase-type distributions; Markov models; survival analysis; geriatric medicine;

D O I：

10.1007/s10729-004-7537-z

中图分类号：

学科分类号：

摘要：

Coxian phase-type distributions are a special type of Markov model that describes duration until an event occurs in terms of a process consisting of a sequence of latent phases. This paper considers the use of Coxian phase-type distributions for modelling patient duration of stay for the elderly in hospital and investigates the potential for using the resulting distribution as a classifying variable to identify common characteristics between different groups of patients according to their (anticipated) length of stay in hospital. The identification of common characteristics for patient length of stay groups would offer hospital managers and clinicians possible insights into the overall management and bed allocation of the hospital wards.

引用

页码：285 / 289

页数：4

共 20 条

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