优化PICU资源管理:一种数据驱动的离散事件模拟方法,用于容量和流量建模
Alireza Akhondi-Asl1,2,3, Michael L McManus1,2,3, Peter C Laussen4
1Division of Critical Care Medicine, Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children's Hospital, Boston, MA.
概括
这项研究开发了一种离散事件模拟 (DES) 模型,以优化医院患者流量和资源使用. 该模型准确地预测了计算下游单位容量时的结果,这对于有效的医院运营至关重要.
科学领域:
- 医疗保健 运营 研究 研究 研究
- 生物医学信息学 生物医学信息学
- 系统工程 系统工程
背景情况:
- 医院需要先进的工具来优化资源利用和患者流动.
- 数据驱动的洞察力对于改善医院管理至关重要.
- 现有的模型可能无法完全捕捉到多个单位患者流动的复杂性.
研究的目的:
- 开发和评估一个灵活的,数据驱动的离散事件模拟 (DES) 模型.
- 在多个单位的医院系统中优化容量利用和患者流动,重点是儿科重症监护室 (PICU) 和下游单位.
- 为加强医院运营决策提供一个工具.
主要方法:
- 追溯的离散事件模拟建模和验证研究.
- 利用来自四级转诊医院 (波士顿儿童医院,2012年1月至2025年2月) 的患者入院历史数据.
- 对模型与真实世界PICU扩展场景进行了验证.
主要成果:
- 该DES模型准确地预测了扩建后的PICU停留时间和容量利用率,当下游单位容量被纳入时.
- 模拟突出了下游瓶对整体患者流和资源利用的关键影响.
- 该模型证明了利用合成数据进行容量规划和优化新服务线路调度的实用性.
结论:
- 开源的DES模型有效地模拟了跨多个医院单位的患者流动.
- 它为管理人员提供了一种强大而灵活的工具,以优化医院运营和资源配置.
- 该模型可转移和适应各种医疗保健系统和场景.
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