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Fraser Health Uses Mathematical Programming to Plan Its Inpatient Hospital Network

Author

Listed:
  • Pablo Santibáñez

    (British Columbia Cancer Agency, Vancouver, British Columbia V5Z 4E6, Canada)

  • Georgia Bekiou

    (Fraser Health Authority, Surrey, British Columbia V3R 4J7, Canada)

  • Kenneth Yip

    (Hospital Authority, Queen Mary Hospital, Pok Fu Lam, Hong Kong, China)

Abstract

Fraser Health (FH), a British Columbia health authority that serves more than 1.5 million people, must increase its acute care capacity significantly over the next 15 years because of anticipated population growth and aging. The distribution of the projected capacity over each of FH's 12 hospitals depends on the mix of clinical services to be provided at each site, a decision guided by population needs and clinical practices. We present a multiperiod mathematical programming model that we developed to provide options for configuring the system, specifically the location of clinical services and allocation of bed capacity across the hospitals. The decisions in the model are based on population access, critical mass standards, and clinical adjacencies. We describe its application in a long-term planning initiative that FH undertook. Extensive scenario analyses allowed administrators, clinicians, and planners to test multiple system configurations, gain a robust understanding of the trade-offs between these configurations, and formalize the planning process for acute care services.

Suggested Citation

  • Pablo Santibáñez & Georgia Bekiou & Kenneth Yip, 2009. "Fraser Health Uses Mathematical Programming to Plan Its Inpatient Hospital Network," Interfaces, INFORMS, vol. 39(3), pages 196-208, June.
    • Handle: RePEc:inm:orinte:v:39:y:2009:i:3:p:196-208
    DOI: 10.1287/inte.1080.0405
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    References listed on IDEAS

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    Cited by:

    1. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    2. Elvan Gökalp & Nalan Gülpınar & Xuan Vinh Doan, 2020. "Capacity Planning for Networks of Stem‐Cell Donation Centers under Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 281-297, February.
    3. Ningxuan Kang & Hao Shen & Ye Xu, 2022. "JD.com Improves Delivery Networks by a Multiperiod Facility Location Model," Interfaces, INFORMS, vol. 52(2), pages 133-148, March.
    4. Mestre, Ana Maria & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana Paula, 2015. "Location–allocation approaches for hospital network planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 240(3), pages 791-806.
    5. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2015. "An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations," European Journal of Operational Research, Elsevier, vol. 247(1), pages 321-334.
    6. Benneyan, James C. & Musdal, Hande & Ceyhan, Mehmet Erkan & Shiner, Brian & Watts, Bradley V., 2012. "Specialty care single and multi-period location–allocation models within the Veterans Health Administration," Socio-Economic Planning Sciences, Elsevier, vol. 46(2), pages 136-148.

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