ENHANCING PUBLIC HEALTH THROUGH ELECTRONIC MEDICAL & PERSONAL HEALTH RECORDS II

描述（由申请人提供）：这是一项建立在现有CDC公共卫生信息学卓越中心活动基础上的建议，以支持预防慢性疾病及其后遗症的公共卫生实践。糖尿病是该国五大慢性病之一，将作为建立先进的疾病监测、分析和报告能力的用例。学术健康中心、照顾多样化和服务不足人群的城乡交付系统以及州公共卫生部之间的这种伙伴关系将建立在其传染病监测经验的基础上，以开发一个以可推广的、开源的、一个网格化的信息系统，用于常规地提取和分析人口水平的糖尿病摘要信息，各种医疗实践的电子病历系统; 2）与社交网络系统链接的个人控制健康记录。我们将向不同类别的公共卫生用户，提供者和个人提供这些信息，以最好地支持他们的需求。我们的两个核心项目中的每一个都解决了该计划项目的五个目标：1）创建新的基于电子数据的糖尿病流行病学，护理和结果的测量; 2）开发支持网格的方法，以支持健康信息的双向交流; 3）创建RiskScape，一个可定制的用户界面，以指导公共卫生实践; 4）评估可以支持公共卫生实践的数据的质量，完整性和及时性的改进; 5）通过出版物，开源发布，文档和宣传结果来传播我们的发现和产品。

DESCRIPTION (provided by applicant): This is a proposal to build upon the activities of an existing CDC Public Health Informatics Center of Excellence to support public health practice to prevent chronic diseases and their sequelae. Diabetes, one of the country's five major chronic diseases, will serve as the use case for establishing advanced disease surveillance, analysis, and reporting capability. This partnership between academic health centers, urban and rural delivery systems caring for diverse and underserved populations, and a state department of public health will build upon its experience in infectious disease surveillance to develop a chronic disease surveillance platform centered on a generalizable, open-source, grid-enabled information system to routinely extract and analyze population-level diabetes summary information from 1) the electronic medical record systems of a diverse set of medical practices and 2) personally controlled health records linked to social network systems. We will present this information to different classes of public health users, providers, and individuals in ways that best support their needs. Each of our two core projects addresses this program project's five aims: 1) Create new electronic data based, measures of diabetes epidemiology, care, and outcomes; 2) develop grid-enabled methods to support bi-directional communication of health information; 3) create the RiskScape, a customizable user interface to guide public health practice; 4) evaluate improvement in the quality, completeness, and timeliness of data that can support public health practice; 5) disseminate our findings and products through publications, open source release, documentation and promotion of results.