Since high performance is essential to the functioning of emergency departments (EDs), they must constantly pursue sensible and empirically testable improvements. In light of recent advances in computer science, an increasing number of simulation-based approaches for studying and implementing ED performance optimizations have become available in the literature. This paper aims to offer a survey of these works, presenting progress made on the topic while indicating possible pitfalls and difficulties in EDs. With that in mind, this review considers research studies reporting simulation-based optimization experiments published between 2007 and 2019, covering 38 studies. This paper provides bibliographic background on issues covered, generates statistics on methods and tools applied, and indicates major trends in the field of simulation-based optimization. This review contributes to the state of the art on ED modeling by offering an updated picture of the present state of the field, as well as promising research gaps. In general, this review argues that future studies should focus on increasing the efficiency of multi-objective optimization problems by decreasing their cost in time and labor.

中文翻译：

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基于仿真的优化方法在医院急诊科中的应用：系统评价

由于高性能对于急诊科 (ED) 的运作至关重要，因此他们必须不断追求合理且经经验可检验的改进。鉴于计算机科学的最新进展，越来越多的用于研究和实施 ED 性能优化的基于模拟的方法已在文献中可用。本文旨在对这些工作进行调查，介绍在该主题上取得的进展，同时指出 ED 中可能存在的陷阱和困难。考虑到这一点，本综述考虑了 2007 年至 2019 年间发表的基于模拟的优化实验报告的研究，涵盖了 38 项研究。本文提供了所涵盖问题的书目背景，生成了所应用的方法和工具的统计数据，并指出基于仿真的优化领域的主要趋势。本综述通过提供该领域现状的最新图景以及有希望的研究差距，为 ED 建模的最新技术做出了贡献。总的来说，这篇综述认为，未来的研究应该集中在通过减少时间和劳动力成本来提高多目标优化问题的效率。