Fuzzy decision making in health systems: a resource allocation model

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

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)245-267
Number of pages23
JournalEURO Journal on Decision Processes
Volume4
Issue number3-4
DOIs
StatePublished - Nov 1 2016

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Statistics and Probability
  • Business, Management and Accounting (miscellaneous)
  • Computational Mathematics
  • Applied Mathematics

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