Using simulation to model and optimize acute care access in relation to hospital bed count and bed distribution
Y Wang,
W L Hare,
L Vertesi and
A R Rutherford
Journal of Simulation, 2011, vol. 5, issue 2, 101-110
Abstract:
In Canada, acute care refers to the in-hospital treatment of a disease during its initial phases (typically measured in days). Determining how bed availability impacts patient access to care is of great interest to the British Columbia (BC) Ministry of Health Services and to the health service delivery industry worldwide. In this article we discuss a simulation queueing theory model with three input streams consisting of Emergency, Direct Elective and Direct Transfers, designed to examine the question of how bed counts impact access to acute care services inBC's hospitals. We further develop an optimization algorithm to determine optimal bed allocations among hospital segments in order to minimize average patient wait time. The algorithm is demonstrated on an exemplar hospital.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2010.7 (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:taf:tjsmxx:v:5:y:2011:i:2:p:101-110
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1057/jos.2010.7
Access Statistics for this article
Journal of Simulation is currently edited by Christine Currie
More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().