Volume 22, Issue 140 (2-2016)                   RJMS 2016, 22(140): 12-24 | Back to browse issues page


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alimohamadiyan E, shafiee M. A fuzzy multi-criteria decision approach for performance evaluation and improve the gaps among Shiraz University of Medical Sciences’ teaching hospitals based on balanced score card approach. RJMS. 2016; 22 (140) :12-24
URL: http://rjms.iums.ac.ir/article-1-3470-en.html

Master of industrial engineering Hormozgan University of Science and Research, Hormozgan, Iran
Abstract:   (1059 Views)

Background: Ranking hospitals are important for their staff motivation and lifting spirit of competition and effort. Ranking hospital is not take place unless an accurate assessment is encouraged. In this study, we used FMCDM, BSC approaches to rank Shiraz University of Medical Sciences’ teaching hospitals.

Methods: This is a case study. Statistical population consisted of 12 teaching hospitals affiliated to Shiraz University of Medical Sciences. For ranking these hospitals, four fuzzy multi-criteria decision tools including Fuzzy DEMATEL, Fuzzy ANP, Fuzzy TOPSIS and Fuzzy VIKOR were used. Excel software was used for analysis of data.

Results: Based on fuzzy VIKOR results, the worst options were Ghotbodin, Namazi and Rajai hospitals, respectively. These three options obtained the lowest value of the performance in the 3 top indexes on the scale fuzzy decision matrix TOPSIS method. This means that the strengthening of the 3 criteria must be a very important factor in determining growth strategies of Ghotbodin, Namazi and Rajai hospitals. Dastgheib, Shoushtari and Khalili Hospitals are among the best options that obtained the highest value in the decision matrix Scale Fuzzy TOPSIS method for 3 superior indexes.

Conclusion: The point to note is that, it is true that these 3 hospitals are known as the best hospitals, but in "the successful CPCR" criteria as the most important selection criteria, did not obtain not the highest scores. As a result, if these hospitals become more degraded in the future under the criteria of "the successful CPCR", they will lose their high rank among other options.

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Type of Study: Research | Subject: Biostatistics

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