台北地区紧急医疗系统在COVID-19期间的激增能力:一个系统动态方法
Chih Chang Chen1, Su Ying Hung2,3
1Department of Marketing Management, Takming University of Science and Technology, Taipei 11451, Taiwan.
Emergency medicine international
|March 22, 2024
概括
这项研究开发了一种模型,用于评估COVID-19等公共卫生危机期间区域紧急医疗系统 (REMS) 的激增能力. 该模型有助于规划准备,并优化为重症监护的资源配置.
科学领域:
- 公共卫生 公共卫生
- 医疗保健管理的管理
- 紧急医疗 紧急医疗
背景情况:
- COVID-19社区传播压倒了区域紧急医疗系统 (REMS).
- 患者的护理和权利受到紧急医疗服务的崩的影响.
- 这导致需要对系统超载进行改进的规划.
研究的目的:
- 提出一个模型来评估区域紧急医疗系统 (REMS) 的冲击能力.
- 帮助计划准备和准备在事件超载系统容量期间.
- 在公共卫生紧急情况期间优化资源管理和患者护理.
主要方法:
- 开发了一种模拟模型来研究REMS激增容量.
- 为了模拟,收集了来自26家医院的数据.
- 该模型监测了呼吸器,医生,护士和床位的可用性,以治疗严重急性呼吸困扰综合征 (ARDS) 患者.
主要成果:
- 开发的过载模型允许创建新的场景,对冲压容量有不同的需求.
- 医疗管理人员可以利用假设情景进行战略规划.
- 雷姆斯能力模型有助于规划和交叉检查准备.
结论:
- 结合呼吸机,医生,护士和床位可用性的模拟可以帮助优化REMS激增容量.
- 强大的区域指挥和管理结构对于有效的激增能力至关重要.
- 拟议的模型支持REMS实现最佳的冲浪能力和准备.
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