Prioritization of IoT challenges in multi-specialist hospital: Pythagorean fuzzy MCDM based approach

The Internet of Things (IoT) is a rapidly growing technology that connects devices and enables data exchange, allowing for advanced automation and optimization in hospitals. Despite its potential benefits, IoT adoption faces several challenges that need to be addressed. In this context, we reviewed the existing literature on IoT adoption challenges and identified the most critical factors that affect the adoption of IoT. Furthermore, thes Analytic Hierarchy Process (AHP) is applied to determine the comparative weight of each challenge. Additionally, a comparative analysis of two novel Multi-Criteria Decision Making (MCDM) techniques, namely Weighted Aggregates Sum Product Assessment (WASPAS) and Combined Compromise Solution (CoCoSo) are applied to evaluate the rank of all the alternatives in the Pythagorean fuzzy environment. Furthermore, the sensitivity analysis was conducted to check the model’s suitability and reliability in a scientific manner. The results of the evaluation indicate that the most critical challenges in the adoption of IoT devices in hospitals are privacy and security of patient data, IT infrastructure, top management support, partner collaboration and implementation cost. The findings can help policymakers, industry practitioners and other stakeholders to make informed decisions in their efforts to enhance the adoption and deployment of IoT technology.