@inproceedings{bcc29c7e391c4a3eafd535f334931d4e,
title = "A Markov chain model to evaluate patient transitions in small community hospitals",
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.",
keywords = "iteration procedure, Markov chain, Patient transition",
author = "Lee, {Hyo Kyung} and Jingshan Li and Musa, {Albert J.} and Bain, {Philip A.}",
note = "Funding Information: This work is supported in part by NSF Grants No. CMMI-1233807 and CMMI-1536987. Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 ; Conference date: 21-08-2016 Through 24-08-2016",
year = "2016",
month = nov,
day = "14",
doi = "10.1109/COASE.2016.7743468",
language = "English",
series = "IEEE International Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",
pages = "675--680",
booktitle = "2016 IEEE International Conference on Automation Science and Engineering, CASE 2016",
}