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Discrete event simulation for performance modelling in health care: a review of the literature

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  • M M Günal
  • M Pidd

Abstract

Discrete Event Simulation (DES) has been widely used in modelling health-care systems for many years and a simple citation analysis shows that the number of papers published has increased markedly since 2004. Over the last 30 years several significant reviews of DES papers have been published and we build on these to focus on the most recent era, with an interest in performance modelling within hospitals. As there are few papers that propose or illustrate general approaches, we classify papers according to the areas of application evident in the literature, discussing the apparent lack of genericity. There is considerable diversity in the objectives of reported studies and in the consequent level of detail: We discuss why specificity dominates and why more generic approaches are rare.

Suggested Citation

  • M M Günal & M Pidd, 2010. "Discrete event simulation for performance modelling in health care: a review of the literature," Journal of Simulation, Taylor & Francis Journals, vol. 4(1), pages 42-51, March.
    • Handle: RePEc:taf:tjsmxx:v:4:y:2010:i:1:p:42-51
    DOI: 10.1057/jos.2009.25
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    Cited by:

    1. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    2. Ortiz-Barrios, Miguel & Arias-Fonseca, Sebastián & Ishizaka, Alessio & Barbati, Maria & Avendaño-Collante, Betty & Navarro-Jiménez, Eduardo, 2023. "Artificial intelligence and discrete-event simulation for capacity management of intensive care units during the Covid-19 pandemic: A case study," Journal of Business Research, Elsevier, vol. 160(C).

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