Document Type : Original Research

Authors

1 PhD, Assistant Professor, Department of Math and Computer Science, Allameh Tabataba’i University, Tehran, Iran

2 PhD, Visiting Fellow, School of Computing, Eng and Math, Western Sydney University, Sydney, Australia

3 PhD, Assistant Professor, Department of Biomedical Engineering, Research Center of Technology and Engineering, Standard Research Institiute, Karaj, Iran

4 MSc, Department of Math and Computer Science, Allameh Tabataba’i University, Tehran, Iran

Abstract

Background: A medical device is any instrument, apparatus, implement, machine, appliance, software, material, which is intended material, to be utilized, either alone or in combination, for medical purpose. These devices should work precisely and the maintenance program of them has also a key role to achieve this goal. Many of the maintenance programs have not considered important functional parameters such as equipment type, risk factors, and expert opinion.
Objective: The purpose of this study is to present a novel fuzzy method for medical device risk assessment. The obtained values for risk could be used to prioritize maintenance operations by considering allocation budget.
Material and Methods: This experimental study aims to make a new application of Ordered-Weighted Average operator in aggregation of different parameters for calculating Risk Priority Number. This model is a fuzzy multi-criteria decision making approach based on risk maintenance framework for medical device prioritization.
Results: A limited budget is one of the barrier in medical centers. The suggested framework presents a simple and reliable method to choose the best maintenance strategy for each kind of medical device by considering budget limitation. Based on obtained results from numerical model, defibrillators and surgical suction have respectively the highest and the lowest priority in mentioned example.
Conclusion: Risk prioritization of medical devices is valuable because the medical centers can prioritize maintenance operations and thereby to establish preference of maintenance strategy. Implementation of our proposed maintenance program has many effective results in medical center budgets.

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