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Patient scheduling in hemodialysis service

Author

Listed:
  • Zhenyuan Liu

    (Huazhong University of Science and Technology
    Key Laboratory of Education Ministry for Image Processing and Intelligent Control)

  • Jiongbing Lu

    (Huazhong University of Science and Technology
    Key Laboratory of Education Ministry for Image Processing and Intelligent Control)

  • Zaisheng Liu

    (Huazhong University of Science and Technology
    Key Laboratory of Education Ministry for Image Processing and Intelligent Control)

  • Guangrui Liao

    (Huazhong University of Science and Technology
    Key Laboratory of Education Ministry for Image Processing and Intelligent Control)

  • Hao Howard Zhang

    (University of Maryland School of Medicine)

  • Junwu Dong

    (Pu ai Hospital)

Abstract

The patient scheduling presents a number of operations management challenges in hemodialysis service center. The homogeneity of the break time between treatments, satisfying the patients preferences on time, space and equipment and the multi-function dialysis devices make for an interesting and complex scheduling problem that could benefit from computerized decision support. In this paper, patient scheduling problem in hemodialysis service is formulated as a synthetic-objective optimization model combined with several criteria on minimizing the gross utilization cost of devices, the number of night treatment, satisfying the patients preferences and the equilibrium of the devices. A basic heuristics and a rollout algorithm based on the heuristics are developed for solving the problem where three levels of treatment schedule sets are constructed one by one. The performances of the rollout algorithm and the basic heuristics are compared on the real cases. Computational results show that significant improvement of patients degree of satisfaction can be achieved with the rollout algorithm while simultaneously considering to reduce the number of night shifts.

Suggested Citation

  • Zhenyuan Liu & Jiongbing Lu & Zaisheng Liu & Guangrui Liao & Hao Howard Zhang & Junwu Dong, 2019. "Patient scheduling in hemodialysis service," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 337-362, January.
    • Handle: RePEc:spr:jcomop:v:37:y:2019:i:1:d:10.1007_s10878-017-0232-z
    DOI: 10.1007/s10878-017-0232-z
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    References listed on IDEAS

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    Cited by:

    1. Mostafa Khatami & Amir Salehipour, 2021. "Coupled task scheduling with time-dependent processing times," Journal of Scheduling, Springer, vol. 24(2), pages 223-236, April.
    2. Reihaneh, Mohammad & Ansari, Sina & Farhadi, Farbod, 2023. "Patient appointment scheduling at hemodialysis centers: An exact branch and price approach," European Journal of Operational Research, Elsevier, vol. 309(1), pages 35-52.
    3. Bozkir, Cem D.C. & Ozmemis, Cagri & Kurbanzade, Ali Kaan & Balcik, Burcu & Gunes, Evrim D. & Tuglular, Serhan, 2023. "Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study," European Journal of Operational Research, Elsevier, vol. 304(1), pages 276-291.
    4. Farbod Farhadi & Sina Ansari & Francisco Jara-Moroni, 2023. "Optimization models for patient and technician scheduling in hemodialysis centers," Health Care Management Science, Springer, vol. 26(3), pages 558-582, September.

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