Fuzzy Inference System modeling to assess the potential risks in the medical equipment

Nowadays failure risk assessment of medical equipment considering the crucial role of proper functioning of these equipment, make it unavoidable necessity. In this study, the risk of equipment failure in the operating room of a hospital in one of the hospital in Tehran is analyzed. In this regard, after designing the multi-stage fuzzy inference system, the risks of nine major failures of equipment were evaluated by the system. The notable issue in this article, evaluation sub-attribute and the main factors related to failure risks that until now have been neglected in design of inference systems. The results indicate that the failures "Error in control and regulate the co2 pressure" and "Nickel-Cadmium batteries failure " have respectively the highest and lowest risk among others and this result is compatible with the experienced experts’s opinion in this study; Therefore, designing a user friendly software program based on a proposed model can help hospitals to evaluate the risk of equipment failure in certain periods without need to presence inspections of certified experts.