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Overutilization and underutilization of operating rooms - insights from behavioral health care operations management

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  • Andreas Fügener

    (Universitäres Zentrum für Gesundheitswissenschaften am Klinikum Augsburg (UNIKA-T), School of Business and Economics, Universität Augsburg)

  • Sebastian Schiffels

    (Technische Universität München)

  • Rainer Kolisch

    (Technische Universität München)

Abstract

The planning of surgery durations is crucial for efficient usage of operating theaters. Both planning too long and too short durations for surgeries lead to undesirable consequences, e.g. idle time, overtime, or rescheduling of surgeries. We define these consequences as operating room inefficiency. The overall objective of planning surgery durations is to minimize expected operating room inefficiency, since surgery durations are stochastic. While most health care studies assume economically rational behavior of decision makers, experimental studies have shown that decision makers often do not act according to economic incentives. Based on insights from health care operations management, medical decision making, behavioral operations management, as well as empirical observations, we derive hypotheses that surgeons’ behavior deviates from economically rational behavior. To investigate this, we undertake an experimental study where experienced surgeons are asked to plan surgeries with uncertain durations. We discover systematic deviations from optimal decision making and offer behavioral explanations for the observed biases. Our research provides new insights to tackle a major problem in hospitals, i.e. low operating room utilization going along with staff overtime.

Suggested Citation

  • Andreas Fügener & Sebastian Schiffels & Rainer Kolisch, 2017. "Overutilization and underutilization of operating rooms - insights from behavioral health care operations management," Health Care Management Science, Springer, vol. 20(1), pages 115-128, March.
  • Handle: RePEc:kap:hcarem:v:20:y:2017:i:1:d:10.1007_s10729-015-9343-1
    DOI: 10.1007/s10729-015-9343-1
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    Cited by:

    1. Lotfi Hidri & Achraf Gazdar & Mohammed M. Mabkhot, 2020. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-24, November.
    2. Jie Bai & Andreas Fügener & Jochen Gönsch & Jens O. Brunner & Manfred Blobner, 2021. "Managing admission and discharge processes in intensive care units," Health Care Management Science, Springer, vol. 24(4), pages 666-685, December.
    3. Erhard, Melanie & Schoenfelder, Jan & Fügener, Andreas & Brunner, Jens O., 2018. "State of the art in physician scheduling," European Journal of Operational Research, Elsevier, vol. 265(1), pages 1-18.
    4. Andreas Fügener & Jens O. Brunner, 2019. "Planning for Overtime: The Value of Shift Extensions in Physician Scheduling," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 732-744, October.
    5. Shuwan Zhu & Wenjuan Fan & Shanlin Yang & Jun Pei & Panos M. Pardalos, 2019. "Operating room planning and surgical case scheduling: a review of literature," Journal of Combinatorial Optimization, Springer, vol. 37(3), pages 757-805, April.
    6. Rahimian, Hamed & Bayraksan, Güzin & Homem-de-Mello, Tito, 2019. "Controlling risk and demand ambiguity in newsvendor models," European Journal of Operational Research, Elsevier, vol. 279(3), pages 854-868.
    7. Sagnol, Guillaume & Barner, Christoph & Borndörfer, Ralf & Grima, Mickaël & Seeling, Matthes & Spies, Claudia & Wernecke, Klaus, 2018. "Robust allocation of operating rooms: A cutting plane approach to handle lognormal case durations," European Journal of Operational Research, Elsevier, vol. 271(2), pages 420-435.
    8. Christian Wernz & Yongjia Song & Danny R. Hughes, 2021. "How hospitals can improve their public quality metrics: a decision-theoretic model," Health Care Management Science, Springer, vol. 24(4), pages 702-715, December.

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