A Markov chain model to evaluate patient transitions in small community hospitals

Hyo Kyung Lee, Jingshan Li, Albert J. Musa, Philip A. Bain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A patient journey in the hospital may include many departments or units. Making safe and smooth transitions within the hospital is of significant importance. This paper introduces a Markov chain model to study patient transitions between emergency department, intensive or critical care unit, and hospital ward. An iteration method is presented to evaluate the performance of transition process. It is shown that such a method has a high accuracy of estimation and can be used to study patient transitions in small community hospitals.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PublisherIEEE Computer Society
Pages675-680
Number of pages6
ISBN (Electronic)9781509024094
DOIs
Publication statusPublished - 2016 Nov 14
Externally publishedYes
Event2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 - Fort Worth, United States
Duration: 2016 Aug 212016 Aug 24

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2016-November
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Conference

Conference2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Country/TerritoryUnited States
CityFort Worth
Period16/8/2116/8/24

Keywords

  • iteration procedure
  • Markov chain
  • Patient transition

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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