Investigation on efficacy of the hospitals affiliated to Ilam University of Medical Sciences by DEA method

In the current age, great developments of management knowledge has necessitated the evaluation system; so that lack of evaluation in various fields of organizations such as assessment of using resources and possibilities, the staff, goals and strategies is considered a sign of organizational defect. Man has continually tried to make the best of things economically; such an intendancy can be considered an achievement of higher efficiency. Efficiency is a comprehensive concept promotion of which has always been considered to help life-style, well-fare, people's prosperity and austerity by political and economic authorities. In this research, the data from 9 hospitals of Ilam (western Iran) were analyzed and categorized using Data Evaluation Analysis (DEA) based on CCR Model (input-output-based) as well as various feed-backs in quad-variables (constant, changing, ascending, descending) with two scenarios during 2009-11 applying DEA solver software. In scenario A, the three inputs of doctors, staff, and acting beds besides the three inputs of clinical, para-clinical, and out-door services were used, while in scenario B, the three inputs of doctors, staff, and acting beds were evaluated in relation to the three outputs of admission-day, days bed-occupation percentage, and out-door services. The findings showed that the most general technical efficiency rate as well as the rate in the study duration stood for the years 2009, 2010, and 2011 using the output-based scenario B. In most of the investigation years, 40% of the investigated hospitals proved efficient comparatively and technically, while the remained 60% centers implied some degree of inefficiency in respect to techniques and ratios. Discussion & The results of our research demonstrate that the selected health centers have not functioned efficiently. It is also concluded that technical efficiency promotion capacity to almost 13% level and comparative efficiency capacity to 10% level were possible without any increase in the costs or the staff.