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Resilience in the Surgical Scheduling to Support Adaptive Scheduling System

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  • Lisa Wiyartanti

    (Division of Nano and Information Technology, KIST School, Korea University of Science and Technology (UST), Seoul 02792, Korea
    Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea)

  • Choon Hak Lim

    (Department of Anesthesiology and Pain Medicine, College of Medicine, Korea University, Seoul 02841, Korea)

  • Myon Woong Park

    (Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea)

  • Jae Kwan Kim

    (Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea)

  • Gyu Hyun Kwon

    (Graduate School of Technology & Innovation Management, Hanyang University, Seoul 04763, Korea)

  • Laehyun Kim

    (Division of Nano and Information Technology, KIST School, Korea University of Science and Technology (UST), Seoul 02792, Korea
    Center for Bionics, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea)

Abstract

Operating Room (OR) managers frequently encounter uncertainties related to real-time scheduling, especially on the day of surgery. It is necessary to enable earlier identification of uncertainties occurring in the perioperative environment. This study aims to propose a framework for resilient surgical scheduling by identifying uncertainty factors affecting the real-time surgical scheduling through a mixed-methods study. We collected the pre- and post-surgical scheduling data for twenty days and a one-day observation data in a top-tier general university hospital in South Korea. Data were compared and analyzed for any changes related to the dimensions of uncertainty. The observations in situ of surgical scheduling were performed to confirm our findings from the quantitative data. Analysis was divided into two phases of fundamental uncertainties categorization (conceptual, technical and personal) and uncertainties leveling for effective decision-making strategies. Pre- and post-surgical scheduling data analysis showed that unconfirmed patient medical conditions and emergency cases are the main causes of frequent same-day surgery schedule changes, with derived factors that affect the scheduling pattern (time of surgery, overtime surgery, surgical procedure changes and surgery duration). The observation revealed how the OR manager controlled the unexpected events to prevent overtime surgeries. In conclusion, integrating resilience approach to identifying uncertainties and managing event changes can minimize potential risks that may compromise the surgical personnel and patients’ safety, thereby promoting higher resilience in the current system. Furthermore, this strategy may improve coordination among personnel and increase surgical scheduling efficiency.

Suggested Citation

  • Lisa Wiyartanti & Choon Hak Lim & Myon Woong Park & Jae Kwan Kim & Gyu Hyun Kwon & Laehyun Kim, 2020. "Resilience in the Surgical Scheduling to Support Adaptive Scheduling System," IJERPH, MDPI, vol. 17(10), pages 1-19, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3511-:d:359429
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    References listed on IDEAS

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    1. Sarah M. Bonzo & David McLain & Mark S. Avnet, 2016. "Process Modeling in the Operating Room: A Socio‐Technical Systems Perspective," Systems Engineering, John Wiley & Sons, vol. 19(3), pages 267-277, May.
    2. Sandra Braaf & Robin Riley & Elizabeth Manias, 2015. "Failures in communication through documents and documentation across the perioperative pathway," Journal of Clinical Nursing, John Wiley & Sons, vol. 24(13-14), pages 1874-1884, July.
    3. Kurt Gaubinger & Michael Rabl & Scott Swan & Thomas Werani, 2015. "Corporate Success Through Market Driven Innovation," Springer Texts in Business and Economics, in: Innovation and Product Management, edition 127, chapter 1, pages 3-25, Springer.
    4. J. Essen & Johann Hurink & Woutske Hartholt & Bernd Akker, 2012. "Decision support system for the operating room rescheduling problem," Health Care Management Science, Springer, vol. 15(4), pages 355-372, December.
    5. Kurt Gaubinger & Michael Rabl & Scott Swan & Thomas Werani, 2015. "Innovation and Product Management," Springer Texts in Business and Economics, Springer, edition 127, number 978-3-642-54376-0, September.
    6. Monica Molino & Claudio G. Cortese & Chiara Ghislieri, 2020. "The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training," IJERPH, MDPI, vol. 17(7), pages 1-15, April.
    7. Antonio Martinez-Millana & Aroa Lizondo & Roberto Gatta & Salvador Vera & Vicente Traver Salcedo & Carlos Fernandez-Llatas, 2019. "Process Mining Dashboard in Operating Rooms: Analysis of Staff Expectations with Analytic Hierarchy Process," IJERPH, MDPI, vol. 16(2), pages 1-14, January.
    8. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
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