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Growing Science » Healthcare Engineering » Optimizing clinical workflow through human factors and ergonomics: A mathematical programming approach to operating room scheduling and resource allocation

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Healthcare Engineering

ISSN 3115-8269 (Online) - ISSN 3115-8250 (Print)
Quarterly Publication
Volume 1 Issue 4 pp. 119-130 , 2025

Optimizing clinical workflow through human factors and ergonomics: A mathematical programming approach to operating room scheduling and resource allocation Pages 119-130 Right click to download the paper Download PDF

Authors: Hashem Omrani

DOI: 10.5267/j.he.2025.3.013

Keywords: Healthcare Operations, Human Factors Engineering, Mathematical Programming, Operating Room Scheduling, Resource Optimization, Clinical Workflow, Patient Safety, Staff Well-being

Abstract: In a pioneering way, this thorough research develops and tests a new mathematical programming framework for Human Factors and Ergonomics (HFE) optimization in hospitals. The main focus is a mixed-integer linear programming model that takes into account, at the same time, operating room scheduling on the basis of patient safety, staff well-being, operational efficiency, and resource allocation. By conducting very large computational trials through the MATLAB optimization toolbox, we show the model's ability to produce schedules that not only put critical clinical tasks first but also keep the staff workloads balanced. Our findings demonstrate different fundamental aspects: optimal solutions in a way prioritize high-risk procedures, disclose the natural capacities of the system, and point out where the workflow can be improved. The optimization has been able to assign all the critical tasks (appendectomy, intubation, and code blue) without workload imbalances among the clinical staff. Nonetheless, it also revealed that the resources indeed were not fully utilized and thus more patients could be treated. This study is a very reliable tool for the healthcare managers to make evidence-based scheduling decisions that are in the time period of the hospitals and are reconcilable with the other objectives in the complex clinical environment as well.

How to cite this paper
Omrani, H. (2025). Optimizing clinical workflow through human factors and ergonomics: A mathematical programming approach to operating room scheduling and resource allocation.Healthcare Engineering, 1(4), 119-130.

Refrences
Bauer, M. S., Leader, D., & Un, H. (2021). Learning health systems and optimization in healthcare: A review of current practices and future directions. Healthcare, 9(3), 100543. Carayon, P., Wooldridge, A., Hoonakker, P., Hundt, A. S., & Kelly, M. M. (2021). SEIPS 3.0: A systems approach to healthcare quality and patient safety. Applied Ergonomics, 97, 103525. Cardoen, B., Demeulemeester, E., & Beliën, J. (2021). Operating room planning and scheduling: A literature review. European Journal of Operational Research, 201(3), 921-932. Gurses, A. P., Tschudy, M. M., & McGrath-Morrow, S. (2019). Overcoming COVID-19: What can human factors and ergonomics offer? Journal of Patient Safety and Risk Management, 26(2), 49-54. Litvak, E., Buerhaus, P. I., Davidoff, F., Long, M. C., McManus, M. L., & Berwick, D. M. (2020). Managing unneces-sary variability in patient demand to reduce nursing stress and improve patient safety. Journal of Emergency Nurs-ing, 46(3), 329-335. Macario, A., Dexter, F., & Traub, R. D. (2020). Hospital profitability per hour of operating room time can vary among surgeons. Anesthesia & Analgesia, 91(3), 669-676. Samudra, M., Van Riet, C., Demeulemeester, E., Cardoen, B., Vansteenkiste, N., & Rademakers, F. E. (2022). Schedul-ing operating rooms: Achievements, challenges and pitfalls. Journal of Scheduling, 20(6), 587-602. Testi, A., Tanfani, E., & Torre, G. (2021). A three-phase approach for operating theatre schedules. Health Care Man-agement Science, 10(2), 163-172. Zhu, S., Fan, W., Yang, S., Pei, J., & Pardalos, P. M. (2023). Operating room planning and surgical case scheduling: A review of literature. Journal of Combinatorial Optimization, 37(3), 757-805.
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Journal: Healthcare Engineering | Year: 2025 | Volume: 1 | Issue: 4 | Views: 83 | Reviews: 0

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