Prioritize and quantifying the effect of factors affecting on the evaluation of membership medical faculty performance

Document Type: Research Paper

Authors

1 Hasheminejad Kidney Center, Hospital Management Research Center, Iran University of Medical Sciences, Tehran, Iran

2 Hospital Management Research Center(HMRC), Iran university of science and medical(IUMS)

3 Researcher, Health care services Management, Shahid Beheshti University of Medical Sciences, and Tehran, Iran

4 Faculty of Industrial and Systems Engineering, Tarbiat Modares University

Abstract

Background and objectives: Evaluation and assessment of hospitals Medical faculty performance plays a vital role in improving organizational performance, patient and client satisfaction, learner satisfaction and increase of the brand in hospitals. So faculty evaluation in terms of all aspects is essential in hospitals.
Methods: In this study, a multi-dimensional model from different perspectives (hospital management, research department, students and faculty) is provided for evaluation of faculty in hospitals. For this purpose, the indicators influencing assessment were identified and categorized in four dimensions: education, hospital management, research and clinical. Then, to prioritize and weight factors as well as prioritize the faculty, a multi-criteria decision-making model was developed and was solved using triangular FAHP approach.
Results: The results indicate that timely and active presence in the clinic on patient bedside, sending patient to other medical centers, private and non-governmental, with no scientific reason, active cooperation with implementing quality improvement plans of health care in hospitals and etc. have the highest priority and factors such as active cooperation with the hospital committees, quality of theses, physical presence in the office hours and etc. received the lowest score.
Conclusions: he results show that all three aspects of physicians' performance are important and should be considered in their evaluation And the fuzzy hierarchical analysis method has shown this very well.

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