A system model of work flow in the patient room of hospital emergency department

Junwen Wang (), Jingshan Li () and Patricia Howard ()

Health Care Management Science, 2013, vol. 16, issue 4, 351 pages

Abstract: Modeling and analysis of patient flow in hospital emergency department (ED) is of significant importance. In a hospital ED, the patients spend most of their time in the patient room and most of the care delivery services are carried out during this time period. In this paper, we propose a system model to study patient (or work) flow in the patient room of an ED when the resources are partially available. A closed and re-entrant process model is developed to characterize the care service activities in the patient room with limited resources of doctors, nurses, and diagnosis tests. Analytical calculation of patient’s length of stay in the patient room is derived, and monotonic properties with respect to care service parameters are investigated. Copyright Springer Science+Business Media New York 2013

Keywords: Emergency department; Length of stay; In-room patient flow; Markov chain (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10729-013-9235-1 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:hcarem:v:16:y:2013:i:4:p:341-351

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10729

DOI: 10.1007/s10729-013-9235-1

Access Statistics for this article

Health Care Management Science is currently edited by Yasar Ozcan

More articles in Health Care Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().