A simulation optimization approach to investigate resource planning and coordination mechanisms in emergency systems

Aboueljinane, Lina; Frichi, Youness

doi:10.1016/j.simpat.2022.102586

Cited by 9 publications

(2 citation statements)

References 61 publications

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“…In addition, several papers in literature have demonstrated the interaction between the performance of EMS and ED as the ED overcrowding or closures can significantly prolong transport time of an ambulance to access a more distant ED and thus decrease the availability of ambulances. 1,61 Future works should consider the interplay between EMS and ED through SBM and develop centralized decision-making, in order to guaranty performance trade-offs.…”

Section: Sbm Applications In Healthcarementioning

confidence: 99%

A review on simulation-based metamodeling in emergency healthcare: methodology, applications, and future challenges

Sahlaoui,

Aboueljinane,

Lebbar

2023

SIMULATION

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Simulation-based metamodels or surrogate models are simplified models that capture the relationship between inputs and outputs of the simulation model. The analytical expression of metamodels is defined using a sample of input/output points obtained from the simulation model. This analytical expression is then embedded in an optimization process that usually provides solutions much faster than other simulation-based optimization techniques such as metaheuristics or mathematical modeling. The goal of this paper is to describe the simulation-based metamodeling approach and to provide a thorough review of the literature on its applications to emergency healthcare systems. For this purpose, we examine the recent literature (journals and conference proceedings) published in the last 15 years (2008–2022). Finally, we identify findings and avenues of research in simulation-based metamodeling that deserve special attention from the scientific community and allow the potential of this approach to be used for better decision-making in emergency healthcare.

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Section: Sbm Applications In Healthcarementioning

confidence: 99%

A review on simulation-based metamodeling in emergency healthcare: methodology, applications, and future challenges

Sahlaoui,

Aboueljinane,

Lebbar

2023

SIMULATION

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“…However, improving the accuracy of simulation-based evaluation is still a challenge faced by researchers. Among the responses to access block in hospitals, most studies have only focused on exploring solutions through simulation modelling of the Emergency Department (ED) [ 9 , 10 , 11 , 12 , 13 ], while interactions between the ED and other departments are often ignored. As a result, the precision of decongestion strategies based on the simulation model will be negatively impacted.…”

Section: Introductionmentioning

confidence: 99%

Effective Response to Hospital Congestion Scenarios: Simulation-Based Evaluation of Decongestion Interventions

Hou

Qin

Thompson

2022

IJERPH

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Hospital overcrowding is becoming a major concern in the modern era due to the increasing demand for hospital services. This study seeks to identify effective and efficient ways to resolve the serious problem of congestion in hospitals by testing a range of decongestion strategies with simulated scenarios. In order to determine more efficient solutions, interventions with smaller changes were consistently tested at the beginning through a simulation platform. In addition, the implementation patterns were investigated, which are important to hospital managers with respect to the decisions made to control hospital congestion. The results indicated that diverting a small number of ambulances seems to be more effective and efficient in congestion reduction compared to other approaches. Furthermore, instead of implementing an isolated approach continuously, combining one approach with other strategies is recommended as a method for dealing with hospital overcrowding.

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A dynamic combination algorithm based scenario construction theory for mine water-inrush accident multi-objective optimization

Li,

Wang,

et al. 2024

Expert Systems with Applications

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A simulation optimization approach to investigate resource planning and coordination mechanisms in emergency systems

Cited by 9 publications

References 61 publications

A review on simulation-based metamodeling in emergency healthcare: methodology, applications, and future challenges

A review on simulation-based metamodeling in emergency healthcare: methodology, applications, and future challenges

Effective Response to Hospital Congestion Scenarios: Simulation-Based Evaluation of Decongestion Interventions

A dynamic combination algorithm based scenario construction theory for mine water-inrush accident multi-objective optimization

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