Medical equipment efficient failure management in IoT environment

There is an urgent increasing need for healthcare to be efficient. Healthcare is highly impacted by medical technologies since it is one of the main drivers of healthcare performance and cost. The number of medical equipment' and their complexity force hospitals to adopt different maintenance strategies to enhance the performance of their devices in addition to attempting to reduce their maintenance cost and effort. In this work, we are proposing a predictive maintenance strategy that relies on real online data through using the Internet of Things (IoT) technology to predict failure before it occurs and the remaining useful life of a medical equipment as well. This maintenance strategy along IoT will form a successful combination to improve the reliability of medical devices and make good use of maintenance resources. We developed a simulation setup to test the methodology using two online tools developed by IBM to show how failure can be predicted.