Handling Emergency Patients into Elective Surgery Scheduling: A Discrete-Event Systems Based Approach

Efficiently integrating emergency patients into the provisional planning of elective surgeries is crucial for optimizing operating rooms utilization, minimizing disruptions, and maximizing resource efficiency. This paper presents a comprehensive scheduling approach that takes into account both elective and urgent surgical operations. We introduce a new discrete event method combining Timed Coloured Petri Nets (TCPN) and (max, +) algebra to address this rescheduling challenge. TCPNs are employed to model the surgical pathway within the operating theater, while (max, +) linear equations are used to describe the analytical behavior and to calculate the beginning and completion dates of surgical activities. This approach ensures the correct insertion of emergency patients by rescheduling elective cases, thereby minimizing waiting times for emergency patients and preventing overlapping surgeon schedules. Simulation scenarios are performed to illustrate the efficiency and effectiveness of the proposed approach.

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Published
2024-10-30
DOI
https://doi.org/10.1109/air63653.2024.00019
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
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article

Handling Emergency Patients into Elective Surgery Scheduling: A Discrete-Event Systems Based Approach

Elhoucine Chakir El Alaoui, Ahmed Nait‐Sidi‐Moh, Oumaima Boulkhoukh
Healthcare Operations and Scheduling Optimization
article

Handling Emergency Patients into Elective Surgery Scheduling: A Discrete-Event Systems Based Approach

Elhoucine Chakir El Alaoui, Ahmed Nait‐Sidi‐Moh, Oumaima Boulkhoukh
article en

Abstract

Efficiently integrating emergency patients into the provisional planning of elective surgeries is crucial for optimizing operating rooms utilization, minimizing disruptions, and maximizing resource efficiency. This paper presents a comprehensive scheduling approach that takes into account both elective and urgent surgical operations. We introduce a new discrete event method combining Timed Coloured Petri Nets (TCPN) and (max, +) algebra to address this rescheduling challenge. TCPNs are employed to model the surgical pathway within the operating theater, while (max, +) linear equations are used to describe the analytical behavior and to calculate the beginning and completion dates of surgical activities. This approach ensures the correct insertion of emergency patients by rescheduling elective cases, thereby minimizing waiting times for emergency patients and preventing overlapping surgeon schedules. Simulation scenarios are performed to illustrate the efficiency and effectiveness of the proposed approach.

Cadi Ayyad University (MA), Université Jean Monnet (FR)
Openalex Percentile: Top 54%
Healthcare Operations and Scheduling Optimization
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