An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia

对传感器技术进行评估,以监测和报告循证干预措施的依从性,以预防呼吸机相关性肺炎

基本信息

  • 批准号:
    9115682
  • 负责人:
  • 金额:
    $ 19.83万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-08-01 至 2019-11-30
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): The candidate, Nishi Rawat, is a Critical Care physician and Assistant Professor in the Department of Anesthesiology and Critical Care Medicine at Johns Hopkins. Her goal is to become an independent investigator focused on advancing the field of quality improvement to improve the quality of health care delivered to Americans, while simultaneously reducing costs, with an emphasis on the application of information technology to evaluate performance, minimize waste and eliminate redundancies. The candidate's preliminary work as a co-investigator for two collaboratives to reduce ventilator-associated pneumonia (VAP) suggests that there is a strong drive to eliminate preventable harms such as VAP, but weak available methodologies and resources to do so. There is a dire need for an effective and inexpensive methodology to track the delivery of evidence-based interventions for the purpose of quality improvement. The proposed research intends to fill this measurement gap. In this proposal, she evaluates the utility of the sensor approach for measuring and improving quality of care, focusing on VAP prevention intervention performance. The aims propose: evaluate the utility of the sensor approach for measuring compliance with a VAP prevention intervention by comparing VAP process measure performance estimates captured by sensor technology to estimates obtained by traditional manual data collection (Aim 1); design and pilot a strategy to provide real-time feedback of sensor process measure compliance to providers (Aim 2); evaluate the impact of the sensor approach on VAP process measure compliance by comparing compliance before and after the implementation of the real-time feedback strategy (Aim 3). The proposed work could fundamentally change how healthcare monitors and reports important care interventions, and has the potential to make quality improvement more efficient, inexpensive and scalable. The candidate is uniquely qualified to undertake the proposed work. She is double-board certified in Critical Care and Emergency Medicine, and has completed a Patient Safety and Quality fellowship. She has led multiple local quality improvement initiatives, and worked to decrease ICU costs as part of a national task force, and is currently co-investigator of large national infection prevention collaborative. It isher determination, enthusiasm and strong work ethic which have enabled her to balance these research activities with a heavy clinical commitment. She now needs protected time for research and career development to become an independent investigator.
 描述(由应用程序提供):候选人Nishi Rawat是约翰·霍普金斯(Johns Hopkins)麻醉和重症监护医学系的重症监护医师和助理教授。她的目标是成为一名专注于提高质量改进领域的独立调查员,以提高提供给美国人的医疗保健质量,同时降低成本,重点是应用信息技术来评估性能,最大程度地减少浪费并消除冗余。该候选人作为两个合作申请人的共同投资者的初步工作,以减少通风相关的肺炎(VAP),这表明,消除可预防的危害(例如VAP)有很大的动力,例如VAP,但可用的方法和资源较弱。直接需要一种有效且廉价的方法来跟踪基于循证的干预措施以进行质量改进的目的。拟议的研究旨在填补这一测量空白。在此提案中,她评估了传感器方法测量和提高护理质量的实用性,重点是预防VAP干预性能。目的建议:通过比较传感器技术捕获的VAP过程测量性能估计与传统手动数据收集获得的估计值(AIM 1),评估传感器方法的效用,以测量预防VAP干预的效用(AIM 1);设计和试点策略,以向提供商提供传感器过程测量合规性的实时反馈(AIM 2);通过比较实施实时反馈策略之前和之后的合规性,评估传感器方法对VAP过程测量合规性的影响(AIM 3)。拟议的工作从根本上可以改变医疗保健监测和报告重要的护理干预措施,并有可能使质量提高效率更高,廉价和可扩展性。候选人具有独特的资格从事拟议的工作。她获得了重症监护和急诊医学的双板认证,并完成了患者的安全和质量奖学金。她领导了多个本地质量改进计划,并努力降低ICU成本,作为国家工作队的一部分,目前是大型国家感染预防合作的共同评估者。它的决心,热情和强大的职业道德使她能够以沉重的临床承诺来平衡这些研究活动。现在,她需要受保护的研究和职业发展才能成为独立研究者。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Nishi Rawat其他文献

Nishi Rawat的其他文献

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{{ truncateString('Nishi Rawat', 18)}}的其他基金

iCorps PA-16-414 Application related to Fast-Track Small Business Innovation Research Grant Application, PA-15-269: OpenBeds: Improving the Delivery of Care for Patients with Drug Addiction
iCorps PA-16-414 与快速小企业创新研究资助申请相关的申请,PA-15-269:OpenBeds:改善对毒瘾患者的护理服务
  • 批准号:
    9379425
  • 财政年份:
    2017
  • 资助金额:
    $ 19.83万
  • 项目类别:
An evaluation of sensor technology to monitor and report compliance with an evidence-based intervention to prevent ventilator-associated pneumonia
对传感器技术进行评估,以监测和报告循证干预措施的依从性,以预防呼吸机相关性肺炎
  • 批准号:
    8967301
  • 财政年份:
    2015
  • 资助金额:
    $ 19.83万
  • 项目类别:

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  • 财政年份:
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