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Collaborative Research: Modeling and Analysis of Rapid Response Operations to Improve Patient Care and Safety: A Systems-Theoretic Approach

Collaborative Research: Modeling and Analysis of Rapid Response Operations to Improve Patient Care and Safety: A Systems-Theoretic Approach
协作研究:快速响应操作的建模和分析以改善患者护理和安全:系统理论方法
批准号:
1233807
负责人:
Jingshan Li
金额:
$24.32万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2016-08-31

项目摘要

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中文摘要
翻译
这个通过系统建模推进卫生服务的合作研究项目的研究目标是建立一个分析框架,用于对急性护理交付中的快速反应过程进行建模,并利用该框架提高快速反应操作的有效性和患者安全。具体来说,它将开发性能评估、瓶颈识别、最佳劳动力配置和响应激活协议的分析方法。本研究的方法是基于对描述快速反应操作的随机过程的分析研究,这些随机过程被建模为具有分裂、合并和并行结构的复杂网络。本研究的挑战在于开发有效的方法来处理基于收集数据的系统建模、分析、改进和优化的复杂性。如果成功,本研究结果将为研究急症护理中的病人护理和安全提供一种新的分析方法,并为提高快速反应手术的疗效提供见解。它将使我们能够发现管理护理交付过程的基本原则,并利用它们进行分析,持续改进和设计,以提高患者安全和护理质量。这项研究将为医院领导和医疗保健专业人员提供改进快速反应操作的定量工具。它不仅对急症护理至关重要,而且对其他医院部门和整个美国医疗保健行业也很有用,并且可以转化为其他系统,如民用应急响应系统、关键供应链和信息网络。
英文摘要
The research objective of this collaborative Advancing Health Services through System Modeling Research project is to establish an analytical framework for modeling the rapid response process in acute care delivery and using this framework to improve the efficacy of rapid response operations and patient safety. Specifically, it will develop analytical methods for performance evaluation, bottleneck identification, and optimal workforce configuration and response activation protocols. The approach of this research is based on analytical investigation of the stochastic processes that describe the rapid response operations which are modeled as complex networks with split, merge and parallel structures. The challenge of this research is in developing effective methods to deal with the complexity of system modeling, analysis, improvement, and optimization based on the collected data.If successful, the results of this research will be a novel analytical method to study patient care and safety in acute care delivery, and to provide insights for improving the efficacy of rapid response operations. It will enable us to uncover the fundamental principles governing care delivery processes and utilize them for analysis, continuous improvement, and design to improve patient safety and care quality. This research will provide hospital leadership and healthcare professionals with a quantitative tool for improving rapid response operations. It will not only be vital for acute care, but also useful to other hospital divisions and the entire American healthcare industry, and is transformable to other systems, such as civil emergency response systems, critical supply chains, and information networks.
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Student Support: 15th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2019); Vancouver, Canada; 22-26 August 2019
  • 批准号:
    1936806
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2019
  • 负责人:
    Jingshan Li
  • 依托单位:
GOALI: Improving Access to Primary Care through E-Visits: Theory and Applications
  • 批准号:
    1536987
  • 项目类别:
    Standard Grant
  • 资助金额:
    $29.69万
  • 财政年份:
    2015
  • 负责人:
    Jingshan Li
  • 依托单位:
GOALI: Quality Analysis in Flexible Manufacturing Systems: A Systems Approach
  • 批准号:
    1114263
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.48万
  • 财政年份:
    2011
  • 负责人:
    Jingshan Li
  • 依托单位:
EAGER: Improvability Theory for Hospital Emergency Department: A System-Theoretic Method to Reduce Crowding
  • 批准号:
    1063671
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.94万
  • 财政年份:
    2010
  • 负责人:
    Jingshan Li
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
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