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Beyond Patient Classification: Using Individual Patient Characteristics in Appointment Scheduling

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  • Peter A. Salzarulo
  • Stephen Mahar
  • Sachin Modi

Abstract

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Suggested Citation

  • Peter A. Salzarulo & Stephen Mahar & Sachin Modi, 2016. "Beyond Patient Classification: Using Individual Patient Characteristics in Appointment Scheduling," Production and Operations Management, Production and Operations Management Society, vol. 25(6), pages 1056-1072, June.
    • Handle: RePEc:bla:popmgt:v:25:y:2016:i:6:p:1056-1072
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    File URL: http://hdl.handle.net/10.1111/poms.12528
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    Citations

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    Cited by:

    1. Shehadeh, Karmel S. & Cohn, Amy E.M. & Epelman, Marina A., 2019. "Analysis of models for the Stochastic Outpatient Procedure Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 279(3), pages 721-731.
    2. Seokjun Youn & H. Neil Geismar & Michael Pinedo, 2022. "Planning and scheduling in healthcare for better care coordination: Current understanding, trending topics, and future opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4407-4423, December.
    3. Kazim Topuz & Timothy L. Urban & Robert A. Russell & Mehmet B. Yildirim, 2024. "Decision support system for appointment scheduling and overbooking under patient no-show behavior," Annals of Operations Research, Springer, vol. 342(1), pages 845-873, November.
    4. Harris, Shannon L. & May, Jerrold H. & Vargas, Luis G. & Foster, Krista M., 2020. "The effect of cancelled appointments on outpatient clinic operations," European Journal of Operational Research, Elsevier, vol. 284(3), pages 847-860.
    5. Alireza F. Hesaraki & Nico P. Dellaert & Ton Kok, 2023. "Online scheduling using a fixed template: the case of outpatient chemotherapy drug administration," Health Care Management Science, Springer, vol. 26(1), pages 117-137, March.
    6. Karmel S. Shehadeh & Amy E. M. Cohn & Ruiwei Jiang, 2021. "Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(1), pages 89-111, February.
    7. Diwas Singh KC & Stefan Scholtes & Christian Terwiesch, 2020. "Empirical Research in Healthcare Operations: Past Research, Present Understanding, and Future Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 73-83, January.
    8. Kenneth J. Klassen & Reena Yoogalingam, 2019. "Appointment scheduling in multi-stage outpatient clinics," Health Care Management Science, Springer, vol. 22(2), pages 229-244, June.
    9. Deceuninck, Matthias & Fiems, Dieter & De Vuyst, Stijn, 2018. "Outpatient scheduling with unpunctual patients and no-shows," European Journal of Operational Research, Elsevier, vol. 265(1), pages 195-207.
    10. Golmohammadi, Davood & Zhao, Lingyu & Dreyfus, David, 2023. "Using machine learning techniques to reduce uncertainty for outpatient appointment scheduling practices in outpatient clinics," Omega, Elsevier, vol. 120(C).

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