Advancing resilience in healthcare professionals: A multifaceted IoMT-based strategy to combat burnout

Abstract

Introduction The escalating burden of occupational stress and chronic health issues among healthcare professionals frequently culminates in burnout syndrome. Objectives This study proposes the development of a prototype mobile recommendation system that utilizes the Internet of Medical Things (IoMT) for health monitoring and burnout assessment, while simultaneously offering coping strategies for healthcare professionals. Methods A digital framework was conceptualized using the Unified Modeling Language (UML), which outlined the system’s modules and graphical interfaces. The proposed system integrates a range of biometric sensors, including an electrocardiogram (ECG), a blood pressure monitor, a blood oxygen saturation monitor, and temperature sensors, complemented by a psychometric assessment tool to evaluate burnout syndrome. Results The results of this study demonstrate that the proposed system can offer significant benefits in terms of promoting physical and mental well-being. By functioning as a continuous health monitoring tool and a preventive measure against stress and chronic illnesses, the proposed system can enhance the resilience of healthcare professionals. Conclusions The proposed system not only facilitates proactive health surveillance but also delivers targeted interventions to alleviate burnout effects. The implementation of this technology could revolutionize mental health management in the workplace, paving the way for robust health policy formulation within medical institutions. Disclosure of Interest None Declared