Simulation based analysis of patient arrival to health care systems and evaluation of an operations improvement scheme |
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Authors: | Peter Williams Guangfu Tai Yiming Lei |
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Institution: | (1) Krannert School of Management, Purdue University, West Lafayette, IN 47906, USA;(2) Indiana University Hospital, Indianapolis, IN 46202, USA |
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Abstract: | Various demands of different patients over both medical resource and time domains in health care systems raise requests of
strategies for balanced system capacity from an operations perspective. In this paper, a quantitative modeling technique with
both patient arrival and associated treatment process integrated are used to characterize health care system performance and
evaluate system efficiency. The patient arrival process is described as a dynamic random Poisson process and patient treatments
are characterized as consumption processes of various health care resources over time with a view of the “product line” used.
The waiting time of patients and usage of health care resources are proposed as system performance measures based on their
means, variances, and confidence intervals. A simulation considering patients with several various diseases is given to find
a mechanism of conflicting factors in decisions of balanced system capacity, and an operation scheme of “evenly balanced load
for bottlenecks” is obtained based on analysis of simulation outputs. Simul8 provides the software environment for the simulation. |
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