Fatigue as a Key Indicator in Digital Healthcare and Performance Management Systems

Published: February 27, 2026
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Abstract

Fatigue is a functional state of the human body characterized by a temporary decrease in performance, which normally recovers after adequate rest. In digital healthcare and healthcare system management, fatigue is an important indicator of functional efficiency, occupational safety, and quality of care. Fatigue develops during work activity and decreases during rest, including active rest, passive rest, and sleep. In its initial stages, clinical, physiological, and psychophysiological indicators show unstable and multidirectional changes that remain within normal limits. With prolonged or excessive workload and insufficient recovery, these changes become persistent and unidirectional, leading to reduced professional performance. The development of fatigue is influenced primarily by physical or mental workload, the magnitude of which is closely related to the severity and timing of fatigue onset. Additional contributing factors include environmental conditions, disruption of work–rest schedules, circadian rhythm disturbances, and psychosocial stress. Traditional theories of fatigue formation emphasized local muscular mechanisms or central nervous system regulation; however, contemporary research supports a systemic view involving multiple organs and regulatory systems. Digital healthcare technologies enable assessment of fatigue through wearable sensors, biometric monitoring, and performance analytics. These tools support early identification of fatigue-related functional changes, workload optimization, and prevention of chronic fatigue and overwork.

Published in Abstract Book of the Conference on Digital Healthcare and Healthcare Systems Management
Page(s) 4-4
Creative Commons

This is an Open Access abstract, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Digital Health, Efficiency, Management, System, Fatigue, Indicator