Fuzzy decision making in health systems: a resource allocation model

Tahir Ekin (), Ozan Kocadagli (), Nathaniel D. Bastian (), Lawrence V. Fulton () and Paul M. Griffin ()
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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

EURO Journal on Decision Processes, 2016, vol. 4, issue 3, No 5, 245-267

Abstract: 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.

Keywords: Multi-objective optimization; Fuzzy modeling; Resource allocation; Health systems; Military medicine (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s40070-015-0049-x

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