Integrating Timekeeping with Mental Health and Burnout Detection Systems

Authors

  • Abdul Jabbar Mohammad UKG Lead Technical Consultant at Metanoia Solutions Inc, USA Author

Keywords:

Timekeeping systems, mental health, burnout detection, biometric feedback, stress analytics

Abstract

Burnout and mental health issues at work are now viewed as the most significant problems. Traditional timekeeping systems fail to recognize the very first signs of employee stress and fatigue. The main function of these timekeeping systems is to track the number of hours and the presence of workers; however, they are absolutely ineffective in validating the emotional and psychological aspects, which are very often the ones that can make a strong impact on both the performance and the retention rate. With that in mind, this article calls for a new way of combining timekeeping systems with mental health and burnout detection tools so that the result should be a more adaptive and humanistic approach to workforce management. Employers should use their employees' data, such as behavioral analysis, sentiment analysis using the AI algorithm, and wellness ratings collected through attendance patterns, to become aware of the burnout dangers at the right time to prevent their transformation into serious problems. This is not only a good chance for employees to have support at a very beginning stage but also a possibility for HR and the so-called leadership team to get more in-depth and clear information about the workload, staff, and well-being initiatives. It outlines the way to follow to come up with a more humane and sustainable work environment, where productivity and mental health are not two separate matters but have to be managed together as a single strategy. The original idea was to change the function of timekeeping from a tool of compliance to a vital ingredient of the employees' well-being, making it easier to create healthy and more qualified teams of workers.

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Published

14-03-2024

How to Cite

[1]
Abdul Jabbar Mohammad, “Integrating Timekeeping with Mental Health and Burnout Detection Systems”, Art. Intel. Mach. Learn. Auto. Sys., vol. 8, pp. 72–97, Mar. 2024, Accessed: Jul. 29, 2026. [Online]. Available: https://amlas.net/index.php/publication/article/view/10

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