Assessing the Impact of Physicians‘ Behavior Variability on Performance Indicators in Emergency Departments: An Agent-Based Model

In emergency departments (EDs), traditional simulation models often overlook the variability in physician practice, assuming uniform service provision. Our study introduces a hybrid agent-based discrete-event simulation (AB-DES) model to capture this variability. Through simulation scenarios based on real ED data, we assess the impact of physician behavior on key performance indicators such as patient waiting times and physician stress levels. Results show significant variability in both individual physician performance and average metrics across scenarios. By integrating physician agent modeling, informed by literature from medical and workplace psychology, our approach offers a more nuanced representation of ED dynamics. This model serves as a foundation for future developments towards digital twins, facilitating real-time ED management. Our findings emphasize the importance of considering physician behavior for accurate performance assessment and optimization.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838757
Primary Topic
Healthcare Policy and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the Impact of Physicians‘ Behavior Variability on Performance Indicators in Emergency Departments: An Agent-Based Model

Marta Cildoz, Fermín Mallor, Miguel Baigorri
Healthcare Policy and Management
article

Assessing the Impact of Physicians‘ Behavior Variability on Performance Indicators in Emergency Departments: An Agent-Based Model

Marta Cildoz, Fermín Mallor, Miguel Baigorri
article en

Abstract

In emergency departments (EDs), traditional simulation models often overlook the variability in physician practice, assuming uniform service provision. Our study introduces a hybrid agent-based discrete-event simulation (AB-DES) model to capture this variability. Through simulation scenarios based on real ED data, we assess the impact of physician behavior on key performance indicators such as patient waiting times and physician stress levels. Results show significant variability in both individual physician performance and average metrics across scenarios. By integrating physician agent modeling, informed by literature from medical and workplace psychology, our approach offers a more nuanced representation of ED dynamics. This model serves as a foundation for future developments towards digital twins, facilitating real-time ED management. Our findings emphasize the importance of considering physician behavior for accurate performance assessment and optimization.

Universidad Pública de Navarra (UPNA) (ES)
Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 69%
Healthcare Policy and Management
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