Decision making support system for medical devices maintenance using artificial neuro fuzzy inference system

Reliable and successful maintenance management system is needed to achieve the best system with lowest costs. The lack of proper medical devices maintenance management in healthcare facilities is leading to unreliable usage of medical devices. This study focused on the decision making process of maintenance of medical devices. Each device was classified according to multiple factors, such as their function, age, price, risk, availability, and utilisation. Artificial neuro fuzzy inference system (ANFIS) was used to choose the best maintenance strategy and compared to neural networks, fuzzy inference system (FIS), and linear regression. Results showed that the best applied method was ANFIS using subtractive clustering in terms of testing data accuracy, with the highest accuracy of 82.99% compared to neural networks (78.16%) and ordinal logistic regression (73.47%). This study recommends incorporating ANFIS approach to healthcare facilities medical devices maintenance management leading to better healthcare services with minimum costs. © 2023 Inderscience Enterprises Ltd.