Harris Daniel R, Baus Adam D, Harper Tamela J, Jarrett Traci D, Pollard Cecil R, Talbert Jeffery C
Center for Clinical and Translational Sciences and the Institute for Pharmaceutical Outcomes and Policy at the University of Kentucky, Lexington, Kentucky 40506.
School of Public Health at West Virginia University, Morgantown, wv 26506.
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2533-2536. doi: 10.1109/EMBC.2016.7591246.
We demonstrate that the open-source i2b2 (Informatics for Integrating Biology and the Bedside) data model can be used to bootstrap rural health analytics and learning networks. These networks promote communication and research initiatives by providing the infrastructure necessary for sharing data and insights across a group of healthcare and research partners. Data integration remains a crucial challenge in connecting rural healthcare sites with a common data sharing and learning network due to the lack of interoperability and standards within electronic health records. The i2b2 data model acts as a point of convergence for disparate data from multiple healthcare sites. A consistent and natural data model for healthcare data is essential for overcoming integration issues, but challenges such as those caused by weak data standardization must still be addressed. We describe our experience in the context of building the West Virginia/Kentucky Health Analytics and Learning Network, a collaborative, multi-state effort connecting rural healthcare sites.
我们证明,开源的i2b2(整合生物学与床边信息学)数据模型可用于启动农村健康分析和学习网络。这些网络通过提供在一组医疗保健和研究合作伙伴之间共享数据和见解所需的基础设施,促进沟通和研究计划。由于电子健康记录缺乏互操作性和标准,在将农村医疗保健站点与通用数据共享和学习网络连接起来时,数据集成仍然是一个关键挑战。i2b2数据模型充当来自多个医疗保健站点的不同数据的汇聚点。一致且自然的医疗保健数据模型对于克服集成问题至关重要,但仍必须解决诸如数据标准化薄弱所导致的挑战。我们在构建西弗吉尼亚州/肯塔基州健康分析和学习网络的背景下描述了我们的经验,这是一项连接农村医疗保健站点的跨州合作努力。