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Assessing hospital system resilience to disaster events involving physical damage and Demand Surge

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  • Shahverdi, Bahar
  • Tariverdi, Mersedeh
  • Miller-Hooks, Elise

Abstract

This paper investigates the effectiveness of formalized collaboration strategies through which patients can be transferred and resources, including staff, equipment and supplies, can be shared across hospitals in response to a disaster incident involving mass casualties and area-wide damage. Inflicted damage can affect hospital infrastructure and its supporting lifelines, thus impacting capacity and capability or, ultimately, services that are provided. Using a discrete event simulation framework and underlying open queuing network conceptualization involving patient flows through 9 critical units of each hospital, impacts on critical resources, physical spaces and demand are modeled and the hospital system's resilience to these hazard events is evaluated. Findings from numerical experiments on a case study involving multiple hospitals spaced over a large metropolitan region replicating a system similar to the Johns Hopkins Hospital System show the potential of strategies involving not only transfers and resource sharing, but also joint capacity enhancement alternatives to improve post-disaster emergency health care service delivery through joint action.

Suggested Citation

  • Shahverdi, Bahar & Tariverdi, Mersedeh & Miller-Hooks, Elise, 2020. "Assessing hospital system resilience to disaster events involving physical damage and Demand Surge," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:soceps:v:70:y:2020:i:c:s0038012119300400
    DOI: 10.1016/j.seps.2019.07.005
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    References listed on IDEAS

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    1. Yi, Pengfei & George, Santhosh K. & Paul, Jomon Aliyas & Lin, Li, 2010. "Hospital capacity planning for disaster emergency management," Socio-Economic Planning Sciences, Elsevier, vol. 44(3), pages 151-160, September.
    2. Kaushal, Arjun & Zhao, Yuancheng & Peng, Qingjin & Strome, Trevor & Weldon, Erin & Zhang, Michael & Chochinov, Alecs, 2015. "Evaluation of fast track strategies using agent-based simulation modeling to reduce waiting time in a hospital emergency department," Socio-Economic Planning Sciences, Elsevier, vol. 50(C), pages 18-31.
    3. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    4. Jotshi, Arun & Gong, Qiang & Batta, Rajan, 2009. "Dispatching and routing of emergency vehicles in disaster mitigation using data fusion," Socio-Economic Planning Sciences, Elsevier, vol. 43(1), pages 1-24, March.
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    Cited by:

    1. Zhen, Lu & Lin, Shumin & Zhou, Chenhao, 2022. "Green port oriented resilience improvement for traffic-power coupled networks," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    2. Wenjie Li & Elise Miller-Hooks, 2023. "Understanding the implications of port-related workforce shortages on global maritime performance through the study of a carrier alliance," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 452-478, September.

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