Integrating simulation and risk-based sensitivity analysis methods in hospital emergency department design

Fatah Chetouane () and Kash Barker ()
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Fatah Chetouane: Université de Moncton
Kash Barker: University of Oklahoma

Chapter Chapter 5 in Advanced Decision Making Methods Applied to Health Care, 2012, pp 67-82 from Springer

Abstract: Abstract An increasing concern when dealing with critical systems or services design is their preparation for a wide range of potentially uncertain operating conditions. In this chapter a four-step simulation-driven decision making methodology (SDDM) is presented to address sensitivity analysis of candidate designs to uncertainty and extreme operating conditions. The approach accounts for, not only the conventional average system performance metrics, but also (i) upper-tail or extreme values of these metrics, and (ii) performance sensitivity measures to uncertainties in the simulation model. The example used to illustrate the application of this technique is a hospital emergency department design case study wherein different design alternatives are compared using patient time-in-system performance metric under multiple uncertain operating conditions.

Keywords: decision making; simulation; extreme events; sensitivity; hospital department design (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1007/978-88-470-2321-5_5

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