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Showing 2 results for Fuzzy Logic

Dr Bakhtiar Ostadi, Reza Mokhtarian Daloie, Dr Mohamad Mahdi Sepehri,
Volume 17, Issue 4 (2-2019)
Abstract

Background: Today, hospitals have faced many requests for quality services, while their costs are increasingly growing as well. These facts; Therefore, necessitate much more attention from hospital mangers in order to reduce healthcare costs. Moreover, the urgent need for a precise costing approach is more evident. Activity-based costing provides useful information on the activities required to achieve services with desirable quality. However, given that the basic information for ABC system is provided under conditions of certainty, the possibility of using this approach in terms of uncertainty would be greatly decreased. This study aims to propose a new framework called FL-ABC.
Materials and Methods: Since, costing processes environment happen under conditions of uncertainty in the hospital, fuzzy logic in the ABC model was used in order to make more accurate estimates of hospital costs and increase the reliability of the results.
Results: This proposed model was used in a hospital lab unit and the results were compared with the standard ABC system. The results showed that the maximum difference in the prescribed costs was 77708951.89 and 67508112.57 IRR in serology and parasitology tests, respectively, mostly due to uncertainty in the assigned costs to each activity.
Conclusion: The FL-ABC system, in terms of taking into account the uncertainty in the parameters of cost, provides more accurate estimates of the cost of activities under conditions of uncertainty which estimates the costs of health care services more accurately.

Marzieh Khorasani-Gerdehkouhi, Seyed Mahmoud Taheri, Mohammad Ali Cheraghi,
Volume 21, Issue 1 (5-2022)
Abstract

Background: Identification of competencies is necessary base for a succession plan and efficient human resource management. Studies show that this important issue has been neglected by using the competency model at the middle-level nurse managers.
Since, the methods based on fuzzy logic provide the possibility of mathematical formulation of ambiguous concepts, such as competence. The aim of this study was to design a competency model for middle-level nurse managers using FDM in the second half of 1399.
Materials & Methods: This study was conducted according to health system management studies. The population included all managers of nursing services (matrons) of hospitals affiliated to Tehran University of Medical Sciences. Census sampling used and research samples included 14 nursing service managers (as experts). After reviewing literatures, an initial conceptual model was designed. In the following, two next steps were conducted as a survey form was used to receive the opinions of experts confirming the model leveling. In the second step, the indicators were screened using the FDM.
Results: All participants were female and 9 people had a master degree. The experts' agreement with the model leveling was 90%, which indicated that it was approved. In FDM, the indicators with crisp values higher than 0/7 were confirmed by experts. The design model consisted of 3 dimensions technical, relational, perceptual, 6 components, 14 indicators and 28 sub-indicators.
Conclusion: This study showed that the criteria for selecting middle-level nurse managers include various dimensions of competence including technical, relational and perceptual. Senior managers can use the results of this research to achieve an appropriate planning for succession plan.

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