Improvement of human performance in healthcare systems by taking into account physician behavior

Journal article

M. Titah, K. Hachemi
Journal of Health Organization and Management, vol. 38, 2024, pp. 888--904

DOI: 10.1108/JHOM-01-2024-0029

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APA Click to copy
Titah, M., & Hachemi, K. (2024). Improvement of human performance in healthcare systems by taking into account physician behavior. Journal of Health Organization and Management, 38, 888–904. https://doi.org/10.1108/JHOM-01-2024-0029

Chicago/Turabian Click to copy
Titah, M., and K. Hachemi. “Improvement of Human Performance in Healthcare Systems by Taking into Account Physician Behavior.” Journal of Health Organization and Management 38 (2024): 888–904.

MLA Click to copy
Titah, M., and K. Hachemi. “Improvement of Human Performance in Healthcare Systems by Taking into Account Physician Behavior.” Journal of Health Organization and Management, vol. 38, 2024, pp. 888–904, doi:10.1108/JHOM-01-2024-0029.

BibTeX Click to copy

@article{titah2024a,
  title = {Improvement of human performance in healthcare systems by taking into account physician behavior},
  year = {2024},
  journal = {Journal of Health Organization and Management},
  pages = {888--904},
  volume = {38},
  doi = {10.1108/JHOM-01-2024-0029},
  author = {Titah, M. 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.

Keywords:

Healthcare management; Key performance indicators; Machine OEE; Production throughput; Resource allocation.