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

A.H. Marshall, S.I. McClean

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)285-289
Number of pages5
JournalHealth Care Management Science
Volume7(4)
Issue number4
DOIs
Publication statusPublished - Mar 2004

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Health Professions(all)

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