Scheduling operating rooms of multiple hospitals considering transportation and deterioration in mass-casualty incidents

Shuwan Zhu, Wenjuan Fan (), Shanlin Yang and Panos M. Pardalos
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Shuwan Zhu: Hefei University of Technology
Wenjuan Fan: Hefei University of Technology
Shanlin Yang: Hefei University of Technology
Panos M. Pardalos: University of Florida

Annals of Operations Research, 2023, vol. 321, issue 1, No 25, 717-753

Abstract: Abstract In mass casualty incidents, patients need to be evacuated to nearby hospitals as soon as possible, and a surge in demand for emergency medical services then occurs. It would result in ambulance offload delays, i.e., no emergency operating room is available when the ambulance arrives at a hospital, and thus the patients cannot be treated immediately. In this paper, we aim to solve a combinatorial problem of patient-to-hospital assignment and patient surgery sequence considering patient deterioration and ambulance offload delay during a mass casualty incident. A mixed-integer programming model is proposed. The objective is to minimize the completion time of all patients’ surgeries. For solving such a problem, some structural properties of our studied problem are derived, and a heuristic is developed to solve the single operating room scheduling problem considering ambulance offload delay and patient deterioration based on these structural properties. A hybrid Firefly Algorithm-Variable Neighborhood Search algorithm incorporating the heuristic method is proposed to solve it. Our proposed algorithm can solve the problem within a short computation time, and the computational results demonstrate the superiority of our proposed algorithm over the compared algorithms.

Keywords: Operating room; Scheduling; Mass casualty incident; Ambulance dispatching; Heuristics; FA-VNS (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10479-022-05094-4

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