Enhancing Emergency Department Efficiency Through Simulation and Fuzzy Multi-Criteria Decision-Making Integration

Journal Title: Journal of Operational and Strategic Analytics - Year 2024, Vol 2, Issue 1

Abstract

An innovative framework is introduced for the enhancement of efficiency within emergency departments (EDs), utilizing an integration of simulation and fuzzy Multi-Criteria Decision-Making (MCDM). A discrete event simulation (DES) model was developed, capturing the intricate dynamics characteristic of ED operations with high fidelity. This model's integration with the Analytic Hierarchy Process (AHP) and the Elimination and Choice Expressing Reality (ELECTRE) method, within a fuzzy context, facilitated a critical evaluation and optimization of the decision-making processes inherent in EDs. The incorporation of these methodologies yielded significant improvements in patient flow and service quality, highlighting the substantial potential of marrying simulation with fuzzy MCDM to achieve operational excellence in healthcare settings. The study stands as a contribution to the enhancement of ED operations, offering a versatile methodology with potential for adaptation across diverse healthcare environments. This approach underscores the imperative of employing a nuanced, integrated strategy to navigate the complexities of healthcare service delivery, ensuring an equilibrium between operational efficiency and the quality of patient care.

Authors and Affiliations

Houman Lazarashouri, Seyyed Esmaeil Najafi

Keywords

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  • EP ID EP742278
  • DOI 10.56578/josa020106
  • Views 40
  • Downloads 0

How To Cite

Houman Lazarashouri, Seyyed Esmaeil Najafi (2024). Enhancing Emergency Department Efficiency Through Simulation and Fuzzy Multi-Criteria Decision-Making Integration. Journal of Operational and Strategic Analytics, 2(1), -. https://europub.co.uk/articles/-A-742278