NDLI: Staffing a Pandemic Urgent Care facility during an outbreak of pandemic influenza

Content Provider	IEEE Xplore Digital Library
Author	See, B.D. Shih-Ping Liu Yi-Wei Lu Qi Pang
Copyright Year	2009
Description	Author affiliation: Department of Industrial and Operations Engineering, 1205 Beal Avenue, University of Michigan - Ann Arbor, Ann Arbor, MI 48109, USA (See, B.D.; Shih-Ping Liu; Yi-Wei Lu; Qi Pang)
Abstract	A simulation of an influenza pandemic is analyzed for the greater Ann Arbor, Michigan region. Focus is placed on a Pandemic Urgent Care center (PUC), where patients of mild and moderate severity are treated. The number of registration assistants, doctors, and nurses to staff as well as the amount of capacity to add to the PUC and adjoining infusion clinic is analyzed for different attack rates. Focus is placed on the peak day of the pandemic, and patients arrive on that day according to an empirical distribution from emergency department arrival data. ProModel is used to evaluate the system and perform sensitivity analysis. The analysis finds that the optimal staffing levels to keep average patient waiting times at a reasonable level is dependent on the attack rate and the daily interarrival rate of patients, and that more staff is needed when arrival patterns have increased variability.
Starting Page	1996
Ending Page	2007
File Size	605868
Page Count	12
File Format	PDF
ISBN	9781424457700
e-ISBN	9781424457717
DOI	10.1109/WSC.2009.5429695
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Influenza Medical treatment Hospitals Analytical models Performance evaluation Sensitivity analysis Pattern analysis Contracts Surges Telephony
Content Type	Text
Resource Type	Article

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