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A stochastic tabu search algorithm to align physician schedule with patient flow

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  • Nazgol Niroumandrad

    (CIRRELT and Polytechnique Montreal)

  • Nadia Lahrichi

    (CIRRELT and Polytechnique Montreal)

Abstract

In this study, we consider the pretreatment phase for cancer patients. This is defined as the period between the referral to a cancer center and the confirmation of the treatment plan. Physicians have been identified as bottlenecks in this process, and the goal is to determine a weekly cyclic schedule that improves the patient flow and shortens the pretreatment duration. High uncertainty is associated with the arrival day, profile and type of cancer of each patient. We also include physician satisfaction in the objective function. We present a MIP model for the problem and develop a tabu search algorithm, considering both deterministic and stochastic cases. Experiments show that our method compares very well to CPLEX under deterministic conditions. We describe the stochastic approach in detail and present a real application.

Suggested Citation

  • Nazgol Niroumandrad & Nadia Lahrichi, 2018. "A stochastic tabu search algorithm to align physician schedule with patient flow," Health Care Management Science, Springer, vol. 21(2), pages 244-258, June.
    • Handle: RePEc:kap:hcarem:v:21:y:2018:i:2:d:10.1007_s10729-017-9427-1
    DOI: 10.1007/s10729-017-9427-1
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    References listed on IDEAS

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    1. Sauré, Antoine & Patrick, Jonathan & Tyldesley, Scott & Puterman, Martin L., 2012. "Dynamic multi-appointment patient scheduling for radiation therapy," European Journal of Operational Research, Elsevier, vol. 223(2), pages 573-584.
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    Cited by:

    1. Lotfi Hidri & Achraf Gazdar & Mohammed M. Mabkhot, 2020. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-24, November.
    2. 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.
    3. Shaowen Lan & Wenjuan Fan & Kaining Shao & Shanlin Yang & Panos M. Pardalos, 2022. "A column-generation-based approach for an integrated service planning and physician scheduling problem considering re-consultation," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3446-3476, December.

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