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A simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled lists

Author

Listed:
  • C Vasilakis

    (University of British Columbia)

  • B G Sobolev

    (University of British Columbia
    Centre for Clinical Epidemiology and Evaluation, Vancouver General Hospital)

  • L Kuramoto

    (Centre for Clinical Epidemiology and Evaluation, Vancouver General Hospital)

  • A R Levy

    (University of British Columbia
    Centre for Health Evaluation and Outcome Sciences, St Paul's Hospital)

Abstract

The purpose of this paper is to compare two methods of scheduling outpatient clinic appointments in the setting where the availability of surgeons for appointments depends on other clinical activities. We used discrete-event simulation to evaluate the likely impact of the scheduling methods on the number of patients waiting for appointments, and the times to appointment and to surgery. The progression of individual patients in a surgical service was modelled as a series of updates in patient records in reaction to events generated by care delivery processes in an asynchronous fashion. We used the Statecharts visual formalism to define states and transitions within each care delivery process, based on detailed functional and behavioural specifications. Our results suggest that pooling referrals, so that clinic appointments are scheduled with the first available surgeon, has a differential impact on different segments of patient flow and across surgical priority groups.

Suggested Citation

  • C Vasilakis & B G Sobolev & L Kuramoto & A R Levy, 2007. "A simulation study of scheduling clinic appointments in surgical care: individual surgeon versus pooled lists," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 202-211, February.
  • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:2:d:10.1057_palgrave.jors.2602235
    DOI: 10.1057/palgrave.jors.2602235
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    References listed on IDEAS

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    1. Davies, Huw T. O. & Davies, Ruth, 1995. "Simulating health systems: modelling problems and software solutions," European Journal of Operational Research, Elsevier, vol. 87(1), pages 35-44, November.
    2. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
    3. John T. Blake & Joan Donald, 2002. "Mount Sinai Hospital Uses Integer Programming to Allocate Operating Room Time," Interfaces, INFORMS, vol. 32(2), pages 63-73, April.
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    Citations

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    Cited by:

    1. J Bowers, 2010. "Waiting list behaviour and the consequences for NHS targets," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(2), pages 246-254, February.
    2. K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
    3. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    4. Marynissen, Joren & Demeulemeester, Erik, 2019. "Literature review on multi-appointment scheduling problems in hospitals," European Journal of Operational Research, Elsevier, vol. 272(2), pages 407-419.
    5. S Vlah & Z Lukač & J Pacheco, 2011. "Use of VNS heuristics for scheduling of patients in hospital," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1227-1238, July.
    6. Fermín Mallor & Cristina Azcárate & Julio Barado, 2015. "Optimal control of ICU patient discharge: from theory to implementation," Health Care Management Science, Springer, vol. 18(3), pages 234-250, September.
    7. John Bowers, 2011. "Simulating waiting list management," Health Care Management Science, Springer, vol. 14(3), pages 292-298, September.
    8. Hui Zhang & Thomas J. Best & Anton Chivu & David O. Meltzer, 2020. "Simulation-based optimization to improve hospital patient assignment to physicians and clinical units," Health Care Management Science, Springer, vol. 23(1), pages 117-141, March.
    9. Boris Sobolev & David Harel & Christos Vasilakis & Adrian Levy, 2008. "Using the Statecharts paradigm for simulation of patient flow in surgical care," Health Care Management Science, Springer, vol. 11(1), pages 79-86, March.
    10. Deborah A. Marshall & Lina Burgos-Liz & Kalyan S. Pasupathy & William V. Padula & Maarten J. IJzerman & Peter K. Wong & Mitchell K. Higashi & Jordan Engbers & Samuel Wiebe & William Crown & Nathaniel , 2016. "Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research," PharmacoEconomics, Springer, vol. 34(2), pages 115-126, February.

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