Performance Evaluation Model for Hospitals Using BSC and Fuzzy VFB-DEA

Subject Areas : Bi-quarterly Journal of development economics and planning

alireza  alinezhad ¹ (Associate Professor, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran.)
Javad  Khalili ² (Msc. Student, Faculty of Industrial and Mechanical Engineering, Qazvin branch, IslamicAzad University, Qazvin, Iran.)

Received: 2017-12-26 Accepted : 2017-12-26 Published : 2018-09-23

Keywords:

Abstract :

Improving efficiency is one of the most important indicators to evaluate the Organization performance and the most basic and the first step to improve efficiency is measure and evaluate it. So far, little researches has been conducted on the hospitals performance evaluation using the combined of balanced scorecard (BSC) and data envelopment analysis (DEA). But in the researches has found by the researcher; 1. Simple performance of units has calculated using DEA classic models, which have two limitations: a) self-evaluation; and b) a lack of recognition between efficient DMUs; The new VFB-DEA cross efficiency model used in this research eliminates these limitations and makes the evaluation results more reasonable. 2. Conditions of uncertainty are not considered if some performance indicators require human judgment, to overcome this problem, the development of the VFB-DEA cross efficiency   model in fuzzy environment is done by the researchers. This research attempts by using fuzzy data envelopment analysis (FDEA) and BSC to evaluate the public hospitals performance in Mashhad during 2014. In this regard, the indicators used to evaluate the performance of health care in situations in past studies and with health experts, three indicators of Staff satisfaction, capita Education and the cost of medicine and supplies, and three indicators of patient satisfaction and the average length of stay and percentage of bed occupancy, in four perspectives of the balanced scorecards elected as input indicators and output indicators. Then, using a new model VFB-DEA in fuzzy environment, mentioned units were evaluated. The results show in the VFB-DEA model thehospital2is ranked first and the hospital 1 and 6 are the most inefficient hospitals. Given the uncertainty and determination of input and output indicators based on a balanced scorecard, the proposed model is more accurate than the past models and enables managers to make better and more accurate decisions to improve the efficiency of organizations.

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