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Improving Scheduling and Flow in Complex Outpatient Clinics

In: Handbook of Healthcare Operations Management

Author

Listed:
  • Craig M. Froehle

    (University of Cincinnati
    Cincinnati Children’s Hospital Medical Center)

  • Michael J. Magazine

    (University of Cincinnati)

Abstract

This chapter examines the barriers to, and opportunities for, improving the planning and scheduling of complex outpatient care environments. First, this chapter explores the effects of two phenomena—complexity and uncertainty—that exacerbate operational challenges for clinics. Mitigating the effects of these phenomena is motivation for proposing a framework for managing clinic operations more effectively. By collecting historical data, and using it effectively, staff are better able to create realistic plans for upcoming clinics. The chapter reviews some of the analytical techniques that can be used to then improve that plan, including an example of a mixed-integer program for determining the optimal sequence of clinical activities. Once the clinic session has begun, the nature of the decisions being made in real time is more tactical, but similar analytical approaches may be useful. Combined with powerful information technology, a proposed analytical and coordination framework can help guide systems improvement efforts. The chapter then concludes with discussion of several opportunities for future research on methods for improving decision-making in clinical operations management.

Suggested Citation

  • Craig M. Froehle & Michael J. Magazine, 2013. "Improving Scheduling and Flow in Complex Outpatient Clinics," International Series in Operations Research & Management Science, in: Brian T. Denton (ed.), Handbook of Healthcare Operations Management, edition 127, chapter 0, pages 229-250, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-5885-2_9
    DOI: 10.1007/978-1-4614-5885-2_9
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    Citations

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    Cited by:

    1. Jin Qi, 2017. "Mitigating Delays and Unfairness in Appointment Systems," Management Science, INFORMS, vol. 63(2), pages 566-583, February.
    2. Ward, Michael J. & Marsolo, Keith A. & Froehle, Craig M., 2014. "Applications of business analytics in healthcare," Business Horizons, Elsevier, vol. 57(5), pages 571-582.
    3. Riise, Atle & Mannino, Carlo & Lamorgese, Leonardo, 2016. "Recursive logic-based Benders’ decomposition for multi-mode outpatient scheduling," European Journal of Operational Research, Elsevier, vol. 255(3), pages 719-728.

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