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Hospital capacity, capability, and emergency preparedness


  • Valdmanis, Vivian
  • Bernet, Patrick
  • Moises, James


Disasters often result in shifts in hospital capacity utilization. Emergency preparedness plans must recognize capacity at the service-line level. This information can provide an additional level of detail to better design response activities and develop cost-effective disaster response plans. We model a possible preparedness plan for Florida hospitals in the case of a major disaster. We model a hurricane event because, in addition to its similarity to other disasters, it provides enough warning for substantive preparation activities. Following Johansen, we measure capacity in a frontier setting using data envelopment analysis. We also use a criterion of economic capability to ensure that a Pareto Optimal situation can be maintained. Information on hospital capacity, patient characteristics of inpatient discharges, and financial performance was merged to perform this study. Our findings suggest there is not enough excess capacity for some specialized services in Florida. However, possible evacuation policies can still be derived from our findings satisfying medical and economic capabilities.

Suggested Citation

  • Valdmanis, Vivian & Bernet, Patrick & Moises, James, 2010. "Hospital capacity, capability, and emergency preparedness," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1628-1634, December.
  • Handle: RePEc:eee:ejores:v:207:y:2010:i:3:p:1628-1634

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    References listed on IDEAS

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    7. repec:mpr:mprres:3786 is not listed on IDEAS
    8. Chen, Andrew & Hwang, Yuhchang & Shao, Benjamin, 2005. "Measurement and sources of overall and input inefficiencies: Evidences and implications in hospital services," European Journal of Operational Research, Elsevier, vol. 161(2), pages 447-468, March.
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    1. repec:bla:pacecr:v:22:y:2017:i:4:p:720-739 is not listed on IDEAS
    2. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2019. "Short- and long-run plant capacity notions: Definitions and comparison," European Journal of Operational Research, Elsevier, vol. 275(1), pages 387-397.
    3. Vivian Valdmanis & Arianna DeNicola & Patrick Bernet, 2015. "Public health capacity in the provision of health care services," Health Care Management Science, Springer, vol. 18(4), pages 475-482, December.
    4. Giovanni Cesaroni & Kristiaan Kerstens & Ignace Van de Woestyne, 2017. "A New Input-Oriented Plant Capacity Notion: Definition and Empirical Comparison," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 720-739, October.
    5. Ray, Subhash C., 2015. "Nonparametric measures of scale economies and capacity utilization: An application to U.S. manufacturing," European Journal of Operational Research, Elsevier, vol. 245(2), pages 602-611.
    6. repec:kap:hcarem:v:22:y:2019:i:3:d:10.1007_s10729-018-9456-4 is not listed on IDEAS
    7. Shan, Siqing & Wang, Li & Xin, Tenglong & Bi, Zhuming, 2013. "Developing a rapid response production system for aircraft manufacturing," International Journal of Production Economics, Elsevier, vol. 146(1), pages 37-47.
    8. Yang, Xiaopeng & Zheng, Danheng & Sieminowski, Tammy & Paradi, Joseph C., 2015. "A dynamic benchmarking system for assessing the recovery of inpatients: Evidence from the neurorehabilitation process," European Journal of Operational Research, Elsevier, vol. 240(2), pages 582-591.
    9. Badau, Flavius, 2015. "Ranking trade resistance variables using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 247(3), pages 978-986.


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