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Fuzzy decision making in health systems: a resource allocation model

Author

Listed:
  • Tahir Ekin

    (Texas State University)

  • Ozan Kocadagli

    (Mimar Sinan Fine Arts University)

  • Nathaniel D. Bastian

    (Pennsylvania State University)

  • Lawrence V. Fulton

    (Texas Tech University)

  • Paul M. Griffin

    (Georgia Institute of Technology)

Abstract

The efficient use of resources in health systems is important due to the increasing demand and limited funding. Large health systems often have fixed input resources (such as budget and staffing) to be allocated among individual hospitals/clinics with particular target output levels. We propose an optimization model with fuzzy constraints that can be used for automatic resource re-allocation with respect to different levels of risk preferences. We illustrate its applicability using data from a U.S. Army hospital network. The implications of the proposed fuzzy decision-making model for healthcare decision makers and its relevance to healthcare policy and management are also discussed.

Suggested Citation

  • Tahir Ekin & Ozan Kocadagli & Nathaniel D. Bastian & Lawrence V. Fulton & Paul M. Griffin, 2016. "Fuzzy decision making in health systems: a resource allocation model," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 245-267, November.
    • Handle: RePEc:spr:eurjdp:v:4:y:2016:i:3:d:10.1007_s40070-015-0049-x
    DOI: 10.1007/s40070-015-0049-x
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    References listed on IDEAS

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