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A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department

Author

Listed:
  • Lina Aboueljinane

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Evren Sahin

    (Ecole Centrale Paris, LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Zied Jemai

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Jean Marty

Abstract

The French Emergency Medical services, which are known as SAMU (the acronym of Urgent Medical Aid Services in French), are public safety systems responsible for the coordination of pre-hospital care under emergency conditions throughout a particular geographic region. The goal of these systems is to respond in a timely and adequate manner to population calls, to provide first-aid services and to transfer patients to the appropriate care facility when needed. The current study aims to develop the process of the Val-de-Marne department's SAMU system (SAMU 94) in an efficient manner that meets the population's needs using limited resources. For this purpose, we propose a discrete event simulation (DES) model implemented in the ARENA software to analyze possible changes in the SAMU 94 processes that would lead to enhanced operational efficiency for coverage performance (i.e., the percentage of calls for which the patient wait time before a SAMU 94 rescue team arrives does not exceed a specific target time). Hence, the model enables to test five categories of scenarios that are mainly related to the level of resources used as well as the location of rescue teams throughout the service area. Among other results, we found that repositioning a portion of the existing teams into potential bases increased the 20-min coverage performance up to 4.5% in average. Furthermore, this improvement in coverage can reach 7.3% when the whole fleet is relocated based on the multi-period redeployment plan obtained from simulation optimization.

Suggested Citation

  • Lina Aboueljinane & Evren Sahin & Zied Jemai & Jean Marty, 2014. "A simulation study to improve the performance of an emergency medical service: Application to the French Val-de-Marne department," Post-Print hal-01672390, HAL.
    • Handle: RePEc:hal:journl:hal-01672390
    DOI: 10.1016/j.simpat.2014.05.007
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    Citations

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    Cited by:

    1. F. Javier Otamendi & David García-Heredia, 2015. "Isochrones as Indicators of the Influence of Traffic in Public Health: A Visual Simulation Application in Ávila, Spain," IJERPH, MDPI, vol. 12(10), pages 1-21, October.
    2. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    3. Karatas, Mumtaz & Yakıcı, Ertan, 2019. "An analysis of p-median location problem: Effects of backup service level and demand assignment policy," European Journal of Operational Research, Elsevier, vol. 272(1), pages 207-218.
    4. Mumtaz Karatas & Nasuh Razi & Murat M. Gunal, 2017. "An ILP and simulation model to optimize search and rescue helicopter operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1335-1351, November.

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