优先临床决策支持以降低心血管风险-猫眼课题宝

优先临床决策支持以降低心血管风险

批准号：

8442364

负责人：

PATRICK J O'CONNOR

金额：

$67.61万

依托单位：

HEALTHPARTNERS INSTITUTE

依托单位国家：

美国

项目类别：

财政年份：

2010

资助国家：

美国

项目状态：

已结题

起止时间：

2010-07-01 至 2015-03-31

来源：

https://reporter.nih.gov/project-details/8442364

关键词：

Address Adult Affect Algorithms American Aspirin Body mass index Caring Case Manager Chronic Disease Clinic Clinic Visits Clinical Clinical Trials Control Groups Data Disease Outcome Effectiveness of Interventions Event Evidence based treatment Funding Glucose Intervention Intervention Studies Investments Lead Lipids Mediator of activation protein Medicine Methods Modeling Myocardial Infarction Nurses Office Visits Outpatients Patients Pharmacists Phase Population Primary Care Physician Primary Health Care Private Sector Provider Public Sector Randomized Research Resources Risk Risk Reduction Simulate Smoking Stroke Study Subject System Technology Testing Time Training Twin Multiple Birth United States National Institutes of Health Work base cardiovascular risk factor care delivery cost cost effectiveness design group intervention improved innovation novel point of care post intervention primary care setting public health relevance randomized trial tool treatment as usual

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中文摘要

翻译

描述(由申请人提供)：该项目的目标是开发和实施复杂的基于护理点EHR的临床决策支持，以(A)确定并(B)优先考虑所有可用的循证治疗方案，以降低特定患者的心血管风险(CVR)。在开发了基于电子病历的决策支持干预措施后，我们将在一项小组随机试验中测试其对CVR的影响，该试验包括18家初级保健诊所、60名初级保健医生和18,000名患有中度或高度CVR的成年人。如果成功，这种方法将(A)改善慢性疾病的结局，并减少约35%的美国成年人口的CVR，(B)最大限度地提高对尖端门诊EHR系统的大规模投资的临床回报，以及(C)为如何利用EHR技术支持在初级保健环境中提供“个性化医疗”提供一个模式。

英文摘要

DESCRIPTION (provided by applicant): The objective of this project is to develop and implement sophisticated point-of-care EHR-based clinical decision support that (a) identifies and (b) prioritizes all available evidence-based treatment options to reduce a given patient's cardiovascular risk (CVR). After developing the EHR-based decision support intervention, we will test its impact on CVR, the components of CVR, in a group randomized trial that includes 18 primary care clinics, 60 primary care physicians, and 18,000 adults with moderate or high CVR. This approach, if successful, will (a) improve chronic disease outcomes and reduce CVR for about 35% of the U.S. adult population, (b) maximize the clinical return on the massive investments that are increasingly being made in sophisticated outpatient EHR systems, and (c) provide a model for how to use EHR technology support to deliver "personalized medicine" in primary care settings.

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