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Master physician scheduling problem

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  • A Gunawan

    (School of Information Systems, Singapore Management University, Singapore, Singapore)

  • H C Lau

    (School of Information Systems, Singapore Management University, Singapore, Singapore)

Abstract

We study a real-world problem arising from the operations of a hospital service provider, which we term the master physician scheduling problem. It is a planning problem of assigning physicians’ full range of day-to-day duties (including surgery, clinics, scopes, calls, administration) to the defined time slots/shifts over a time horizon, incorporating a large number of constraints and complex physician preferences. The goals are to satisfy as many physicians’ preferences and duty requirements as possible while ensuring optimum usage of available resources. We propose mathematical programming models that represent different variants of this problem. The models were tested on a real case from the Surgery Department of a local government hospital, as well as on randomly generated problem instances. The computational results are reported together with analysis on the optimal solutions obtained. For large-scale instances that could not be solved by the exact method, we propose a heuristic algorithm to generate good solutions.

Suggested Citation

  • A Gunawan & H C Lau, 2013. "Master physician scheduling problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 410-425, March.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:3:p:410-425
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    Citations

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    Cited by:

    1. Jonathan Patrick & Amine Montazeri & Wojtek Michalowski & Diponkar Banerjee, 2019. "Automated Pathologist Scheduling at The Ottawa Hospital," Interfaces, INFORMS, vol. 49(2), pages 93-103, March.
    2. Hannah K. Smalley & Pınar Keskinocak & Atul Vats, 2015. "Physician Scheduling for Continuity: An Application in Pediatric Intensive Care," Interfaces, INFORMS, vol. 45(2), pages 133-148, April.
    3. Damcı-Kurt, Pelin & Zhang, Minjiao & Marentay, Brian & Govind, Nirmal, 2019. "Improving physician schedules by leveraging equalization: Cases from hospitals in U.S," Omega, Elsevier, vol. 85(C), pages 182-193.
    4. Toni I. Wickert & Alberto F. Kummer Neto & Márcio M. Boniatti & Luciana S. Buriol, 2021. "An integer programming approach for the physician rostering problem," Annals of Operations Research, Springer, vol. 302(2), pages 363-390, July.
    5. Tohidi, Mohammad & Kazemi Zanjani, Masoumeh & Contreras, Ivan, 2021. "A physician planning framework for polyclinics under uncertainty," Omega, Elsevier, vol. 101(C).
    6. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).
    7. Xu, Shuling & Hall, Nicholas G., 2021. "Fatigue, personnel scheduling and operations: Review and research opportunities," European Journal of Operational Research, Elsevier, vol. 295(3), pages 807-822.
    8. Farzad Zaerpour & Marco Bijvank & Huiyin Ouyang & Zhankun Sun, 2022. "Scheduling of Physicians with Time‐Varying Productivity Levels in Emergency Departments," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 645-667, February.
    9. Renata Mansini & Roberto Zanotti, 2020. "Optimizing the physician scheduling problem in a large hospital ward," Journal of Scheduling, Springer, vol. 23(3), pages 337-361, June.
    10. Hoong Chuin Lau & Zhi Yuan & Aldy Gunawan, 2016. "Patrol scheduling in urban rail network," Annals of Operations Research, Springer, vol. 239(1), pages 317-342, April.
    11. Paola Cappanera & Filippo Visintin & Roberta Rossi, 2022. "The emergency department physician rostering problem: obtaining equitable solutions via network optimization," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 916-959, December.
    12. Christopher N. Gross & Andreas Fügener & Jens O. Brunner, 2018. "Online rescheduling of physicians in hospitals," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 296-328, June.

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