Prioritized Clinical Decision Support to Reduce Cardiovascular Risk

描述（由申请人提供）：本项目的目标是开发和实施复杂的基于床旁EHR的临床决策支持，（a）识别和（B）优先考虑所有可用的循证治疗方案，以降低给定患者的心血管风险（CVR）。在开发基于EHR的决策支持干预后，我们将在一项包括18个初级保健诊所、60名初级保健医生和18，000名中度或高度CVR的成年人的分组随机试验中测试其对CVR的影响。如果成功，这种方法将（a）改善慢性疾病的结果，并减少约35%的美国成年人口的CVR，（B）最大限度地提高对复杂的门诊EHR系统进行的大量投资的临床回报，以及（c）为如何使用EHR技术支持在初级保健环境中提供“个性化医疗”提供了一个模型。

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.