Operating room scheduling for non-operating room anesthesia with emergency uncertainty

Jian-Jun Wang, Zongli Dai, Wenxuan Zhang and Jim Junmin Shi ()
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Jian-Jun Wang: Dalian University of Technology
Zongli Dai: Dalian University of Technology
Wenxuan Zhang: Dalian University of Technology
Jim Junmin Shi: New Jersey Institute of Technology

Annals of Operations Research, 2023, vol. 321, issue 1, No 21, 565-588

Abstract: Abstract How to improve the efficiency of operating rooms (ORs) has always been a challenging problem in the context of healthcare operations management. This paper focuses on the research of operating room scheduling under non-operating room anesthesia (NORA) mechanism, in the presence of the uncertainty of emergency arrivals. In particular, we examine the advantages of the NORA mechanism in comparison with traditional surgical anesthesia practice under different operating room settings. Operationally, the process is comprised of two stages: (1) initial scheduling and (2) rescheduling. In the first stage, the initial schedule for elective surgeries under NORA is first performed through our developed model. With experiments, it is shown that for different operating room settings, the NORA mechanism can significantly improve the operating room utilization in comparison with the traditional OR anesthesia process. In the second stage of rescheduling, our experiment results show that the rescheduling model can effectively address the disruptions caused by the random arrival of emergency patients.

Keywords: Operating room scheduling; Non-operating room anesthesia; Emergency patients; Heuristic algorithm (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10479-022-04870-6

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