Predictive Monitoring: IMPact of Real-time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)
预测性监测:实时预测性监测在急性护理心脏病试验中的影响 (PM-IMPACCT)
基本信息
- 批准号:10417970
- 负责人:
- 金额:$ 40万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Keim-Malpass/Bourque
PM-IMPACCT
PROJECT SUMMARY/ABSTRACT
Patients on the acute care wards who deteriorate and are emergently transferred to the intensive care unit
have poor outcomes. Early identification of subtly worsening patients might allow for earlier clinical action
leading to reduced morbidity and mortality. Advances in bedside continuous predictive analytics monitoring
(i.e. artificial intelligence (AI)-based risk prediction) make a wealth of data available to healthcare providers and
can form the foundation for computational algorithms that integrate real-time bedside monitor physiologic data
to provide early warning of potentially catastrophic physiologic events. The future of acute hospital care
includes monitoring systems that integrate data streams of rapidly changing clinical information to estimate and
communicate risk of imminent events. This will allow a paradigm change in care from reactive to proactive by
predicting patient trajectories and acting early to promote optimal patient trajectories. Predictive analytics
monitoring is a promising technology that will yield families of these new tools. Here, we propose a multi-
disciplinary cluster randomized controlled trial (NCT04359641) to test the use of CoMET (Continuous
Monitoring of Event Trajectories), an AI-based visual analytic that displays risk estimates for multiple adverse
outcomes. It is expected that having access to a visual risk analytic for impending catastrophic outcomes can
draw the clinician’s attention to patients warranting early or extra consideration. Specifically, in our proposed
cluster RCT we will evaluate the impact of predictive analytics monitoring on: (1) improvement in patient
outcomes, (2) response time to proactive clinical action, and (3) costs to the healthcare system. This proposal
is led by an immensely promising interdisciplinary mPI early stage investigators who are members of the
Center for Advanced Medical Analytics. This proposal will strengthen the ability of health care organizations to
evolve as learning health systems that apply bioinformatics data to improve patient outcomes by incorporating
artificial intelligence into knowledge tools that are successfully integrated for use by health care providers and
determine if they improve patient outcomes. We anticipate developing standard processes that can be
leveraged and are scalable for general implementation of predictive analytics monitoring algorithms in real-life
practice contexts. Additionally, we anticipate building on this R01 with future work including a multi-center
randomized control trial testing effectiveness of our artificial intelligence-based risk analytic.
凯姆-马尔帕斯
PM-影响
项目摘要/摘要
急性监护病房中病情恶化并紧急转入重症监护室的患者
结果很差。早期识别轻微恶化的患者可能会允许更早的临床行动
导致发病率和死亡率降低。床旁连续预测分析监测的进展
(i.e.基于人工智能(AI)的风险预测)为医疗保健提供者提供了丰富的数据,
可以形成整合实时床旁监护生理数据的计算算法的基础
以提供潜在灾难性生理事件的早期预警。急性病医院护理的未来
包括集成快速变化的临床信息的数据流的监测系统,
传达即将发生的事件的风险。这将使护理模式从被动转为主动,
预测患者轨迹并及早采取行动以促进最佳患者轨迹。预测分析
监测是一项很有前途的技术,将产生一系列这些新工具。在这里,我们提出了一个多-
一项旨在测试CoMET使用的学科群随机对照试验(NCT 04359641)(连续
事件轨迹监测),这是一种基于AI的可视化分析,可显示多种不良事件的风险估计。
结果。人们期望,对即将发生的灾难性后果进行可视化风险分析,
引起临床医生对早期或额外考虑的患者的注意。具体而言,在我们的建议中,
在一项群集RCT中,我们将评估预测分析监测对以下方面的影响:(1)改善患者
结果,(2)对主动临床行动的响应时间,以及(3)医疗保健系统的成本。这项建议
是由一个非常有前途的跨学科的mPI早期阶段的研究人员谁是成员,
高级医学分析中心。该提案将加强医疗保健组织的能力,
发展成为学习型卫生系统,应用生物信息学数据,通过整合
将人工智能转化为知识工具,成功集成供医疗保健提供者使用,
确定它们是否能改善患者的预后。我们期望开发标准流程,
可用于在现实生活中一般实施预测分析监控算法,
实践背景。此外,我们预计在此R 01的基础上,未来的工作包括多中心
随机对照试验测试我们基于人工智能的风险分析的有效性。
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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Jamieson MacDonald Bourque其他文献
Jamieson MacDonald Bourque的其他文献
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{{ truncateString('Jamieson MacDonald Bourque', 18)}}的其他基金
Predictive Monitoring: IMPact of Real-time Predictive Monitoring in Acute Care Cardiology Trial (PM-IMPACCT)
预测性监测:实时预测性监测在急性护理心脏病试验中的影响 (PM-IMPACCT)
- 批准号:
10693155 - 财政年份:2022
- 资助金额:
$ 40万 - 项目类别:
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular Angina
微血管心绞痛灌注储备和运动效果的评估
- 批准号:
8568077 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular Angina
微血管心绞痛灌注储备和运动效果的评估
- 批准号:
9285870 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular Angina
微血管心绞痛灌注储备和运动效果的评估
- 批准号:
8856333 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular Angina
微血管心绞痛灌注储备和运动效果的评估
- 批准号:
9069039 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
Assessment of Perfusion Reserve and Effects of Exercise in Microvascular Angina
微血管心绞痛灌注储备和运动效果的评估
- 批准号:
8726482 - 财政年份:2013
- 资助金额:
$ 40万 - 项目类别:
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