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Logistics for Emergency Medical Service systems

Author

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  • Melanie Reuter-Oppermann
  • Pieter L. van den Berg
  • Julie L. Vile

Abstract

Emergency Medical Service (EMS) systems worldwide are complex systems, characterized by significant variation in service providers, care pathways, patient case-mix and quality care indicators. Analysing and improving them is therefore challenging. Since EMS systems differ between countries, it is difficult to provide generic rules and approaches for EMS planning. Nevertheless, the common goal for all service providers is to offer medical assistance to patients with serious injuries or illnesses as quickly as possible. This paper presents an overview of logistical problems arising for EMS providers, demonstrating how some of these problems are related and intertwined. For each individual planning problem, a description as well as a concise literature overview of solution approaches considered is given. A summary table classifies the literature according to the problems addressed and connects it to the proposed taxonomy.

Suggested Citation

  • Melanie Reuter-Oppermann & Pieter L. van den Berg & Julie L. Vile, 2017. "Logistics for Emergency Medical Service systems," Health Systems, Taylor & Francis Journals, vol. 6(3), pages 187-208, November.
    • Handle: RePEc:taf:thssxx:v:6:y:2017:i:3:p:187-208
    DOI: 10.1057/s41306-017-0023-x
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    Citations

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    Cited by:

    1. Joelle Cormier & Valérie Bélanger & Marie-Éve Rancourt, 2026. "Strategic analysis of heterogeneous fleet composition for aerial interhospital transport in underserved areas of Canada," Health Care Management Science, Springer, vol. 29(1), pages 1-27, March.
    2. Eduardo Pérez & Alakshendra Joshi & Sabhasachi Saha & Francis A. Méndez-Mediavilla, 2025. "A stochastic programming model for trauma hospital network expansion considering rural communities and COVID-19," Health Care Management Science, Springer, vol. 28(4), pages 672-690, December.
    3. Anne Zander & Melanie Reuter-Oppermann, 2025. "Data in ambulatory care logistics: What modelers need and what practice can offer," Health Care Management Science, Springer, vol. 28(3), pages 505-526, September.
    4. Abreu, Paulo & Santos, Daniel & Barbosa-Povoa, Ana, 2023. "Data-driven forecasting for operational planning of emergency medical services," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    5. Mostafa Rezaei & Armann Ingolfsson, 2024. "Forecasting to support EMS tactical planning: what is important and what is not," Health Care Management Science, Springer, vol. 27(4), pages 604-630, December.
    6. Karpova, Yulia & Villa, Fulgencia & Vallada, Eva, 2025. "Realistic strategies for dynamic ambulance relocation," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    7. Yossi Luzon & Opher Baron & Vedat Verter & Oded Berman, 2025. "On Designing a Fire Emergency Vehicle Fleet," Manufacturing & Service Operations Management, INFORMS, vol. 27(6), pages 1995-2015, November.
    8. Youness Frichi & Lina Aboueljinane & Fouad Jawab, 2025. "Ambulance location and relocation under budget constraints: investigating coverage-maximization models and ambulance sharing to improve emergency medical services performance," Health Care Management Science, Springer, vol. 28(2), pages 274-297, June.
    9. Julián Alberto Espejo-Díaz & Edgar Alfonso-Lizarazo & Jairo R. Montoya-Torres, 2025. "Improving access to emergency medical services using advanced air mobility vehicles," Flexible Services and Manufacturing Journal, Springer, vol. 37(4), pages 1060-1092, December.

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