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