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

• Main Authors: Zare, Habib, Tavana, Madjid, Mardani, Abbas, Masoudian, Sepideh, Saraji, Mahyar Kamali
• Format: Article
• Published: Springer New York LLC 2019
• Subjects: HD28 Management. Industrial Management
• Online Access: http://eprints.utm.my/id/eprint/89096/; http://dx.doi.org/10.1007/s10729-018-9456-4
• Institution: Universiti Teknologi Malaysia

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.