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Showing 2 results for Fuzzy Topsis

Ali Moradi, Khaled Rahmani, Dr Ebrahim Jaafaripooyan, Rasoul Yarahmadi,
Volume 17, Issue 1 (5-2018)
Abstract

Introduction: Since incorrect selection of  a manager might lead to incorrect choices of other members, organizations need to consider this important issue  and use well-sought mechanisms for managers’ selection process. Accordingly, this study aims to rank the key factors associated with the selection of operational managers in Tehran University of Medical Sciences.
 
Materials and Methods: This research employed a logical and systematic trend to develop and rank the indicators using fuzzy TOPSIS method. In order for prioritization of key indicators of qualification of operational-level;  after reviewing the literature and using experts’ viewpoints , the dimensions of performance have been selected and using, the SMART technique the key criteria were weighted. A validated and reliable questionnaire was used for data collection.
 
Results: Fifty individuals participated in this study. 37 (74%) and 13 (26%) were male and female respectively. The mean and standard deviation of age of participants were 41.68 and 7.06 years. Literature reviews and related studies indicated 48 indices  for choosing qualified managers. Among these, according to the  expert’s opinion in management science and managers, 36 indices were selected as key indicators. Based on the FTOPSIS analysis, indicators of higher education in the field of management, compliance time, power of expression, adornment and belief in law and order achieved coefficients as 0.205, 0.204, 0.203, 0.202 and 0.197, rank first to fifth.
 
Conclusion: According to the results management related education and expertise in technical aspects of organizational management control  were at the top of ranking . Results of this study can help  medical universities and health service organizations to develop guidelines for selecting their managers.


Shima Tasharoei, Dr Ali Jahan, Dr Kamran Ghods,
Volume 18, Issue 2 (8-2019)
Abstract

Introduction: Intensive Care Unit (ICU) in hospitals is one of the most sensitive and costly units which is really important due to safety and health of patients during their stay in these units. Hence, considering the potential risks in this unit, treatment operations for eliminating or decreasing risks are very important. Among these intensive care units, the most important one is the open-heart surgery unit which may have irreparable damages due to vulnerability of these patients in the process of their transfer, care, and discharge. The present study aims to identify the potential risks and offer solutions for eliminating or decreasing them.
Method: In this research, we used Failure Mode and Effect Analysis (FMEA) method, which is a very useful method for evaluating and managing the risks, to prioritize risk factors. Due to some limitations of the method, fuzzy FMEA and fuzzy TOPSIS methods were also used in order to have more precise results and then the results were compared with each other.
Results: The suggested approach was implemented in ICU-OH (open-heart) unit of Kowsar hospital in Semnan. Finally, nineteen factors were recognized as major risk factors. Also, corrective actions were determined for all detected risks that can be pursued according to their priorities.
Conclusions: Factors including not observing hemodynamic signs, not considering patient safety and security, and inability to interpret arterial gas valve abnormalities are the three top risk factors that can be addressed through training and having more control on nurses.

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