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Optimal operating room scheduling for normal and unexpected events in a smart hospital

Author

Listed:
  • Abbas Al-Refaie

    (University of Jordan)

  • Toly Chen

    (Feng Chia University)

  • Mays Judeh

    (University of Jordan)

Abstract

A smart hospital can react to emergencies and unexpected events in real time. Emergencies occur frequently in hospitals, and the number of lives saved should be maximized. Because emergency patients disrupt established schedules of hospital operating room, proactive techniques should be employed to save as many lives as possible. In this study, three optimization models were developed for optimizing operating room scheduling during unexpected events and accommodating emergency patient surgeries in the established schedule. The first model (Model I) schedules emergency patients in newly opened rooms, whereas the second model (Model II) aims to assign emergency patients to untapped ranges; the third model (Model III) resequences elective and emergency patients in the room with the greatest free margin. This paper presents a real-life case study for illustration; the three models are adopted and the results are subsequently compared. In conclusion, the proposed models are expected to provide proactive plans for hospitals as well as enhance the performance and efficiency of operating rooms.

Suggested Citation

  • Abbas Al-Refaie & Toly Chen & Mays Judeh, 2018. "Optimal operating room scheduling for normal and unexpected events in a smart hospital," Operational Research, Springer, vol. 18(3), pages 579-602, October.
    • Handle: RePEc:spr:operea:v:18:y:2018:i:3:d:10.1007_s12351-016-0244-y
    DOI: 10.1007/s12351-016-0244-y
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    References listed on IDEAS

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    1. Lamiri, Mehdi & Xie, Xiaolan & Dolgui, Alexandre & Grimaud, Frederic, 2008. "A stochastic model for operating room planning with elective and emergency demand for surgery," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1026-1037, March.
    2. Guinet, Alain & Chaabane, Sondes, 2003. "Operating theatre planning," International Journal of Production Economics, Elsevier, vol. 85(1), pages 69-81, July.
    3. Jebali, AIda & Hadj Alouane, Atidel B. & Ladet, Pierre, 2006. "Operating rooms scheduling," International Journal of Production Economics, Elsevier, vol. 99(1-2), pages 52-62, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    2. Min-Chi Chiu & Tin-Chih Toly Chen, 2020. "Assessing sustainable effectiveness of the adjustment mechanism of a ubiquitous clinic recommendation system," Health Care Management Science, Springer, vol. 23(2), pages 239-248, June.
    3. Tin-Chih Toly Chen & W. Art Chaovalitwongse & Michael J. O’grady & Katsuhiro Honda, 2020. "Editorial: smart technologies for improving the quality of mobile health care," Health Care Management Science, Springer, vol. 23(2), pages 171-172, June.
    4. Shuwan Zhu & Wenjuan Fan & Xueping Li & Shanlin Yang, 2023. "Ambulance dispatching and operating room scheduling considering reusable resources in mass-casualty incidents," Operational Research, Springer, vol. 23(2), pages 1-37, June.

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