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Hospital capacity, capability, and emergency preparedness

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

Abstract

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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    5. Habib Zare & Madjid Tavana & Abbas Mardani & Sepideh Masoudian & Mahyar Kamali Saraji, 2019. "A hybrid data envelopment analysis and game theory model for performance measurement in healthcare," Health Care Management Science, Springer, vol. 22(3), pages 475-488, September.
    6. 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.
    7. 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.
    8. Kerstens, Kristiaan & Shen, Zhiyang, 2021. "Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    9. Badau, Flavius, 2015. "Ranking trade resistance variables using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 247(3), pages 978-986.
    10. Yao-yao Song & Xian-tong Ren & Guo-liang Yang, 2023. "Capacity utilization change over time," Journal of Productivity Analysis, Springer, vol. 59(1), pages 61-78, February.
    11. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2019. "Plant Capacity and Attainability: Exploration and Remedies," Operations Research, INFORMS, vol. 67(4), pages 1135-1149, July.
    12. 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.
    13. Dale Squires & Kathleen Segerson, 2022. "Capacity and Capacity Utilization in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 24, pages 1001-1037, Springer.
    14. 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.
    15. 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.
    16. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).
    17. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.

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