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

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

doi:10.1109/COASE.2016.7743468

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 proceeding › Conference 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 language	English
Title of host publication	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Publisher	IEEE Computer Society
Pages	675-680
Number of pages	6
ISBN (Electronic)	9781509024094
DOIs	https://doi.org/10.1109/COASE.2016.7743468
Publication status	Published - 2016 Nov 14
Externally published	Yes
Event	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 - Fort Worth, United States Duration: 2016 Aug 21 → 2016 Aug 24

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2016-November
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
Country/Territory	United States
City	Fort Worth
Period	16/8/21 → 16/8/24

Bibliographical note

Funding Information:
This work is supported in part by NSF Grants No. CMMI-1233807 and CMMI-1536987.

Publisher Copyright:
© 2016 IEEE.

Keywords

iteration procedure
Markov chain
Patient transition

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/COASE.2016.7743468

Cite this

Lee, H. K., Li, J., Musa, A. J., & Bain, P. A. (2016). A Markov chain model to evaluate patient transitions in small community hospitals. In 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 (pp. 675-680). Article 7743468 (IEEE International Conference on Automation Science and Engineering; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/COASE.2016.7743468

A Markov chain model to evaluate patient transitions in small community hospitals. / Lee, Hyo Kyung; Li, Jingshan; Musa, Albert J. et al.
2016 IEEE International Conference on Automation Science and Engineering, CASE 2016. IEEE Computer Society, 2016. p. 675-680 7743468 (IEEE International Conference on Automation Science and Engineering; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, HK, Li, J, Musa, AJ & Bain, PA 2016, A Markov chain model to evaluate patient transitions in small community hospitals. in 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016., 7743468, IEEE International Conference on Automation Science and Engineering, vol. 2016-November, IEEE Computer Society, pp. 675-680, 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016, Fort Worth, United States, 16/8/21. https://doi.org/10.1109/COASE.2016.7743468

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this