Prioritized Clinical Decision Support to Reduce Cardiovascular Risk

优先临床决策支持以降低心血管风险

基本信息

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
起止时间：
2010-07-01 至 2015-03-31
项目状态：
已结题

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

项目摘要

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.

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 EHR 的护理点临床决策支持，该支持 (a) 识别和 (b) 优先考虑所有可用的基于证据的治疗方案，以减少给定的治疗方案患者的心血管风险（CVR）。在开发基于 EHR 的决策支持干预措施后，我们将在一项随机分组试验中测试其对 CVR（CVR 的组成部分）的影响，该试验包括 18 个初级保健诊所、60 名初级保健医生和 18,000 名中度或高 CVR 的成年人。这种方法如果成功，将 (a) 改善慢性病结果并降低约 35% 的美国成年人口的 CVR，(b) 最大限度地提高对复杂门诊 EHR 系统进行的大规模投资的临床回报，以及(c) 提供如何利用电子病历技术支持在初级保健机构中提供“个性化医疗”的模型。