Journal article
Mawloud Titah, K. Hachemi
Journal of health organization and management, 2024
Journal of health organization and management, 2024
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APA
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Titah, M., & Hachemi, K. (2024). Improvement of human performance in healthcare systems by taking into account physician behavior. Journal of Health Organization and Management.
Chicago/Turabian
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Titah, Mawloud, and K. Hachemi. “Improvement of Human Performance in Healthcare Systems by Taking into Account Physician Behavior.” Journal of health organization and management (2024).
MLA
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Titah, Mawloud, and K. Hachemi. “Improvement of Human Performance in Healthcare Systems by Taking into Account Physician Behavior.” Journal of Health Organization and Management, 2024.
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@article{mawloud2024a,
title = {Improvement of human performance in healthcare systems by taking into account physician behavior.},
year = {2024},
journal = {Journal of health organization and management},
author = {Titah, Mawloud and Hachemi, K.}
}
Abstract
PURPOSE Efficiency standards, similar to industrial measures like overall equipment effectiveness (OEE), are being used in healthcare systems more and more. Performance indicator models applied to machines assume a constant completion time. However, for human resources, the completion time of a task may vary depending on the stress experienced. This study seeks to bridge this gap by integrating the human behavior of the physician into the performance evaluation.
DESIGN/METHODOLOGY/APPROACH The paper presents a new algorithm called PerfoBalance that is intended to distribute waiting-patient values among doctors. By maximizing each physician's stress zones, this method helps to improve their performance as a whole. A thorough case study with medical professionals is carried out to confirm the effectiveness of the suggested methodology. The PerfoBalance algorithm is used in a variety of contexts to divide waiting-patient values among doctors and optimize stress zones.
FINDINGS Experimental results demonstrate a significant improvement in physician efficiency when implementing the PerfoBalance algorithm. The algorithm strategically selects stress zones that contribute to higher performance rates for physicians by optimizing waiting-patient values.
ORIGINALITY/VALUE By addressing the undervaluation of human performance difficulties in current efficiency models used in the healthcare industry, this research constitutes a significant contribution to the field. With its launch, the PerfoBalance algorithm offers a fresh viewpoint on waiting-patient value allocation and stress zone management in healthcare settings, hence representing a powerful method for increasing physician productivity.