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Strategies for interday appointment scheduling in primary care

Author

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  • Lara Wiesche

    (Ruhr University Bochum, Chair of Operations Research)

  • Matthias Schacht

    (Ruhr University Bochum, Chair of Operations Research)

  • Brigitte Werners

    (Ruhr University Bochum, Chair of Operations Research)

Abstract

When faced with a medical problem, patients contact their primary care physician (PCP) first. Here mainly two types of patient requests occur: non-scheduled patients who are walk-ins without an appointment and scheduled patients with an appointment. Number and position of the scheduled appointments influence waiting times for patients, capacity for treatment and the utilization of PCPs. As the number of patient requests differs significantly between weekdays, the challenge is to match capacity with patient requests and provide as few appointment slots as necessary. In this way, capacity for walk-ins is maximized while overall capacity restrictions are met. Decisions as to the optimal appointment capacity per day on a tactical decision level has gained little attention in the literature. A mixed integer linear model is developed, where the minimum number of appointments scheduled for a weekly profile is determined. We are thus able to give the answer as to how many appointments to offer on each day in a week in order to create a schedule that takes patient preferences as well as PCP preferences into account. Appointment schedules are often influenced by uncertain demands due to the number of urgent patients, interarrivals and service times. Based on an exemplary case study, the advantages of the optimal appointment schedule on different performance criteria are shown by detailed stochastic simulations.

Suggested Citation

  • Lara Wiesche & Matthias Schacht & Brigitte Werners, 2017. "Strategies for interday appointment scheduling in primary care," Health Care Management Science, Springer, vol. 20(3), pages 403-418, September.
  • Handle: RePEc:kap:hcarem:v:20:y:2017:i:3:d:10.1007_s10729-016-9361-7
    DOI: 10.1007/s10729-016-9361-7
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    References listed on IDEAS

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    Cited by:

    1. Guo, Hainan & Xie, Yue & Jiang, Bowen & Tang, Jiafu, 2024. "When outpatient appointment meets online consultation: A joint scheduling optimization framework," Omega, Elsevier, vol. 127(C).
    2. T. Meersman & B. Maenhout, 2022. "Multi-objective optimisation for constructing cyclic appointment schedules for elective and urgent patients," Annals of Operations Research, Springer, vol. 312(2), pages 909-948, May.
    3. Rachuba, Sebastian & Imhoff, Lisa & Werners, Brigitte, 2022. "Tactical blueprints for surgical weeks – An integrated approach for operating rooms and intensive care units," European Journal of Operational Research, Elsevier, vol. 298(1), pages 243-260.
    4. A. G. Leeftink & I. M. H. Vliegen & E. W. Hans, 2019. "Stochastic integer programming for multi-disciplinary outpatient clinic planning," Health Care Management Science, Springer, vol. 22(1), pages 53-67, March.
    5. Matthias Grot & Simon Kugai & Lukas Degen & Isabel Wiemer & Brigitte Werners & Birgitta M. Weltermann, 2023. "Small Changes in Patient Arrival and Consultation Times Have Large Effects on Patients’ Waiting Times: Simulation Analyses for Primary Care," IJERPH, MDPI, vol. 20(3), pages 1-11, January.
    6. Martin Comis & Catherine Cleophas & Christina Büsing, 2021. "Patients, primary care, and policy: Agent-based simulation modeling for health care decision support," Health Care Management Science, Springer, vol. 24(4), pages 799-826, December.
    7. Elena Tsarouha & Christine Preiser & Birgitta Weltermann & Florian Junne & Tanja Seifried-Dübon & Felicitas Stuber & Sigrid Hartmann & Andrea Wittich & Monika A. Rieger & Esther Rind, 2020. "Work-Related Psychosocial Demands and Resources in General Practice Teams in Germany. A Team-Based Ethnography," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    8. Tristan Becker & Pia Mareike Steenweg & Brigitte Werners, 2019. "Cyclic shift scheduling with on-call duties for emergency medical services," Health Care Management Science, Springer, vol. 22(4), pages 676-690, December.

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