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Review of modelling approaches for healthcare simulation

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  • Bożena Mielczarek

Abstract

The goal of this paper is to present a summary of various simulation methods applied to health services and to discuss several internal and external determinants for selecting a particular simulation method to study a given managerial problem within the healthcare system. The analysis presented is based on a literature survey and considers four primary simulation techniques: Monte Carlo, discrete-event simulation, agent-based simulation and system dynamics. A range of internal and external factors are reviewed and characterised to determine the most suitable simulation technique for addressing a particular healthcare decision problem.

Suggested Citation

  • Bożena Mielczarek, 2016. "Review of modelling approaches for healthcare simulation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 26(1), pages 55-72.
    • Handle: RePEc:wut:journl:v:1:y:2016:p:55-72:id:1196
    DOI: 10.5277/ord160104
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    References listed on IDEAS

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    Cited by:

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    2. Syed Salleh & Praveen Thokala & Alan Brennan & Ruby Hughes & Andrew Booth, 2017. "Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews," PharmacoEconomics, Springer, vol. 35(9), pages 937-949, September.
    3. Bokhorst, Jos A.C. & van der Vaart, Taco, 2018. "Acute medical unit design – The impact of rearranged patient flows," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 75-83.
    4. Mohammad Reza Davahli & Waldemar Karwowski & Redha Taiar, 2020. "A System Dynamics Simulation Applied to Healthcare: A Systematic Review," IJERPH, MDPI, vol. 17(16), pages 1-27, August.

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