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Patient Appointments in Ambulatory Care

In: Handbook of Healthcare System Scheduling

Author

Listed:
  • Diwakar Gupta

    (University of Minnesota)

  • Wen-Ya Wang

    (University of Minnesota)

Abstract

Outpatient appointment system design is a complex problem because it involves multiple stakeholders, sequential booking process, random arrivals, no-shows, varying degrees of urgency of different patients’ needs, service time variability, and patient and provider preferences. Clinics use a two-step process to manage appointments. In the first step, which we refer to as the clinic profile setup problem, service providers’ daily clinic time is divided into appointment slots. In the second step, which we refer to as the appointment booking problem, physicians’ offices decide which available slots to book for each incoming request for an appointment. In this chapter, we present formulations of mathematical models of key problems in the area of appointment system design. We also discuss the challenges and complexities of solving such problems. In addition, summaries of prior research, particularly advanced models related to the examples shown in this chapter are also presented.

Suggested Citation

  • Diwakar Gupta & Wen-Ya Wang, 2012. "Patient Appointments in Ambulatory Care," International Series in Operations Research & Management Science, in: Randolph Hall (ed.), Handbook of Healthcare System Scheduling, chapter 0, pages 65-104, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-1734-7_4
    DOI: 10.1007/978-1-4614-1734-7_4
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    Citations

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    Cited by:

    1. Dantas, Leila F. & Fleck, Julia L. & Cyrino Oliveira, Fernando L. & Hamacher, Silvio, 2018. "No-shows in appointment scheduling – a systematic literature review," Health Policy, Elsevier, vol. 122(4), pages 412-421.
    2. Miao Bai & Bjorn Berg & Esra Sisikoglu Sir & Mustafa Y. Sir, 2023. "Partially partitioned templating strategies for outpatient specialty practices," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 301-318, January.
    3. Dongyang Wang & Kumar Muthuraman & Douglas Morrice, 2019. "Coordinated Patient Appointment Scheduling for a Multistation Healthcare Network," Operations Research, INFORMS, vol. 67(3), pages 599-618, May.
    4. Baş, Seda & Carello, Giuliana & Lanzarone, Ettore & Yalçındağ, Semih, 2018. "An appointment scheduling framework to balance the production of blood units from donation," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1124-1143.
    5. Christos Zacharias & Michael Pinedo, 2017. "Managing Customer Arrivals in Service Systems with Multiple Identical Servers," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 639-656, October.
    6. William P. Millhiser & Emre A. Veral, 2019. "A decision support system for real-time scheduling of multiple patient classes in outpatient services," Health Care Management Science, Springer, vol. 22(1), pages 180-195, March.
    7. Ulla Vaeggemose & Emely Ek Blæhr & Anne Marie L. Thomsen & Viola Burau & Pia Vedel Ankersen & Stina Lou, 2020. "Fine for non‐attendance in public hospitals in Denmark: A survey of non‐attenders' reasons and attitudes," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(5), pages 1055-1064, September.
    8. Boone, Claire E & Celhay, Pablo & Gertler, Paul & Gracner, Tadeja & Rodriguez, Josefina, 2022. "How scheduling systems with automated appointment reminders improve health clinic efficiency," Journal of Health Economics, Elsevier, vol. 82(C).
    9. 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.
    10. Jiayi Liu & Jingui Xie & Kum Khiong Yang & Zhichao Zheng, 2019. "Effects of Rescheduling on Patient No-Show Behavior in Outpatient Clinics," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 780-797, October.

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