Facilitating health data sharing across diverse practices and communities.

Ching-Ping Lin, Robert A Black, Jay Laplante, Gina A Keppel, Leah Tuzzio, Alfred O Berg, Ron J Whitener, Dedra S Buchwald, Laura-Mae Baldwin, Paul A Fishman, Sarah M Greene, John H Gennari, Peter Tarczy-Hornoch, Kari A Stephens
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Abstract

Health data sharing with and among practices is a method for engaging rural and underserved populations, often with strong histories of marginalization, in health research. The Institute of Translational Health Sciences, funded by a National Institutes of Health Clinical and Translational Science Award, is engaged in the LC Data QUEST project to build practice and community based research networks with the ability to share semantically aligned electronic health data. We visited ten practices and communities to assess the feasibility of and barriers to developing data sharing networks. We found that these sites had very different approaches and expectations for data sharing. In order to support practices and communities and foster the acceptance of data sharing in these settings, informaticists must take these diverse views into account. Based on these findings, we discuss system design implications and the need for flexibility in the development of community-based data sharing networks.

Abstract Image

促进不同做法和社区之间的卫生数据共享。
各实践之间和各实践之间的卫生数据共享是使农村和服务不足人口(往往有严重的边缘化历史)参与卫生研究的一种方法。由美国国立卫生研究院临床和转化科学奖资助的转化健康科学研究所,参与了LC数据QUEST项目,以建立基于实践和社区的研究网络,能够共享语义一致的电子健康数据。我们访问了十个实践和社区,以评估发展数据共享网络的可行性和障碍。我们发现,这些网站在数据共享方面有着非常不同的方法和期望。为了支持实践和社区,并促进在这些环境中接受数据共享,信息学家必须考虑到这些不同的观点。基于这些发现,我们讨论了基于社区的数据共享网络发展对系统设计的影响和灵活性的需求。
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