A hybrid data envelopment analysis and game theory model for performance measurement in healthcare

Habib Zare (), Madjid Tavana (), Abbas Mardani, Sepideh Masoudian () and Mahyar Kamali Saraji ()
Additional contact information
Habib Zare: Yazd University
Madjid Tavana: La Salle University
Sepideh Masoudian: Islamic azad university Yazd Branch
Mahyar Kamali Saraji: Yazd University

Health Care Management Science, 2019, vol. 22, issue 3, No 9, 475-488

Abstract: Abstract Performance measurement plays an important role in the successful design and reform of regional healthcare management systems. In this study, we propose a hybrid data envelopment analysis (DEA) and game theory model for measuring the performance and productivity in the healthcare centers. The input and output variables associated with the efficiency of the healthcare centers are identified by reviewing the relevant literature, and then used in conjunction with the internal organizational data. The selected indicators and collected data are then weighted and prioritized with the help of experts in the field. A case study is presented to demonstrate the applicability and efficacy of the proposed model. The results reveal useful information and insights on the efficiency levels of the regional healthcare centers in the case study.

Keywords: Efficiency; Data envelopment analysis; Game theory; Healthcare (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s10729-018-9456-4

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