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

In: Advanced Decision Making Methods Applied to Health Care

Author

Listed:
  • Fatah Chetouane

    (Université de Moncton)

  • Kash Barker

    (University of Oklahoma)

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.

Suggested Citation

  • Fatah Chetouane & Kash Barker, 2012. "Integrating simulation and risk-based sensitivity analysis methods in hospital emergency department design," International Series in Operations Research & Management Science, in: Elena Tànfani & Angela Testi (ed.), Advanced Decision Making Methods Applied to Health Care, chapter 0, pages 67-82, Springer.
    • Handle: RePEc:spr:isochp:978-88-470-2321-5_5
    DOI: 10.1007/978-88-470-2321-5_5
    as

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