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Resource-Based Patient Prioritization in Mass-Casualty Incidents

机译:大规模伤亡事件中基于资源的患者优先级

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摘要

The most widely used standard for mass-casualty triage, START, relies on a fixed-priority ordering among different classes of patients, and does not explicitly consider resource limitations or the changes in sur-vival probabilities with respect to time. We construct a fluid model of patient triage in a mass-casualty incident that incorporates these factors and characterize its optimal policy. We use this characterization to obtain use-ful insights about the type of simple policies that have a good chance to perform well in practice, and we demonstrate how one could develop such a policy. Using a realistic simulation model and data from emergency medicine literature, we show that the policy we developed based on our fluid formulation outperforms START in all scenarios considered, sometimes substantially.
机译:大规模伤亡分类的最广泛使用的标准START(START)依赖于不同类别患者之间的固定优先级排序,并且没有明确考虑资源限制或生存概率随时间的变化。我们构建了包含这些因素的大规模伤亡事件中患者分类的流体模型,并描述了其最佳策略。我们使用这种特征来获得有关简单策略类型的有用见解,这些策略在实践中有很好的机会表现良好,并且我们演示了如何制定这样的策略。使用现实的仿真模型和急诊医学文献中的数据,我们表明,我们基于液体制剂制定的政策在考虑的所有情况下(有时甚至是实际情况)都优于START。

著录项

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  • 作者单位

    Operations and Decision Technologies, Kelley School of Business, Indiana University,Bloomington, Indiana 47405;

    Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599;

    Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    health operations; emergency response; triage;

    机译:卫生业务;紧急响应;分流;

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