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

Published online by Cambridge University Press:  26 August 2025

M. A. Lafraxo ,
H. Guider ,
A. El Alaiki ,
Z. Boumaaize ,
I. Douelfiqar ,
Y. El Madhi ,
A. Soulaymani ,
A. Mokhtari  and
H. Hami
M. A. Lafraxo
Affiliation:
Higher Institute of Nursing Professions and Health Techniques, Oujda
H. Guider
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
A. El Alaiki*
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
Z. Boumaaize
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
I. Douelfiqar
Affiliation:
Laboratory of Electronic Systems, Information Processing Mechanics and Energetics, Faculty of Science, Ibn Tofail University, Kenitra
Y. El Madhi
Affiliation:
Regional Center for Education and Training Professions, Rabat, Morocco
A. Soulaymani
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
A. Mokhtari
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
H. Hami
Affiliation:
Laboratory of Biology and Health, Faculty of Science, Ibn Tofail University
*
*Corresponding author.

Abstract

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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

Information

Type
Abstract
Information
European Psychiatry , Volume 68 , Special Issue S1: Abstracts of the 33rd European Congress of Psychiatry , April 2025 , pp. S780
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
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