A Hybrid Policy making Framework for IoT Applications in Healthcare, Considering Uncertainty and Robustness

Given the role of the Internet of Things (IoT) in achieving sustainable health, identifying and prioritizing IoT applications in the health field is a main challenge for policymakers, a challenge that has been addressed by many researchers. This paper presents a hybrid framework designed to address challenges and assist health policymakers in leveraging IoT technology effectively. The most important applications of IoT in hospitals have been identified through a systematic literature review and expert opinion. By combining the developed group BWM-G with four ranking methods (SAW-G, TOPSIS-G, ARAS-G, and EDAS-G), IoT applications in the hospital sector have been prioritized based on SD criteria and sub-criteria. Sensitivity analysis has been conducted to identify the most critical criterion and determine the robust ranking method. The proposed steps have been applied to a case study to illustrate how this framework can be used in practice. The research shows that hospital care and treatment are the most important factors in improving community health. Technologies such as real-time patient monitoring and smart resource management help hospitals operate sustainably and are ready for investment. To achieve sustainable development goals, the government should focus on these priorities and formulate appropriate policies to fully benefit from these technologies.