Leveraging Electronic Health Data to Assess the Burden of Diabetes among Young Adults

项目摘要 来自电子健康的关于人口健康和健康相关行为的准确的本地信息 记录可以支持有效的公共卫生计划和政策的发展。理想情况下，公共卫生 决策者将获得关于他们所居住人口的最新、全面和有代表性的信息， 发球。不幸的是，用于社区评估的常用数据源达不到这一点。最近 采用电子健康记录的进展使公共卫生有可能获得 更及时、更准确的数据。然而，目前尚不清楚新的数据来源是否能够 改善对人口健康的评估。在这个项目中，印第安纳州大学的一个多学科小组， Regenstrief研究所和马里恩县公共卫生部门将使用综合的、有代表性的 电子健康数据，以根据糖尿病类型、年龄、性别， 种族/民族和地理区域。将对这些估计的可靠性进行评估 和有效性这些估计数将进一步与地方和州公共卫生官员分享， 解决该地区的糖尿病负担问题。

Project Summary Accurate, local information about population health and health related behaviors derived from electronic health records may support the development of effective public health programs and policies. Ideally, public health decision-makers would have up to date, comprehensive, representative information about the population they serve. Unfortunately, commonly used data sources for community assessment fall short of this. Recent advances in the adoption of electronic health records make it possible for public health to potentially access more timely and accurate data. However, it remains unclear whether newer sources of data will enable improved assessment of population health. In this project, a multidisciplinary team at Indiana University, the Regenstrief Institute, and the Marion County Public Health Department will use integrated, representative electronic health data to generate estimates of Type 1 and Type 2 diabetes by diabetes type, age, sex, race/ethnicity and geographic area at state and county levels. These estimates will be evaluated for reliability and validity. The estimates will further be shared with local and state public health officials for use in addressing diabetes burden in the region.