迈向减少加勒比地区健康信息不平等：我们参与式健康信息学项目的经验。
Toward Reducing Health Information Inequities in the Caribbean: Our Experience Building a Participatory Health Informatics Project.
机构信息
Equity Research and Innovation Center, General Internal Medicine, Yale School of Medicine, New Haven, CT.
Center for Medical Informatics, Yale School of Medicine, New Haven, CT.
出版信息
Ethn Dis. 2020 Apr 2;30(Suppl 1):193-202. doi: 10.18865/ed.30.S1.193. eCollection 2020.
Abstract
Precision medicine seeks to leverage technology to improve the health for all individuals. Successful health information systems rely fundamentally on the integration and sharing of data from a range of disparate sources. In many settings, basic infrastructure inequities exist that limit the usefulness of health information systems. We discuss the work of the Yale Transdisciplinary Collaborative Center for Health Disparities focused on Precision Medicine, which aims to improve the health of people in the Caribbean and Caribbean diaspora by leveraging precision medicine approaches. We describe a participatory informatics approach to sharing data as a potential mechanism to reducing inequities in the existing data infrastructure.
摘要
精准医学旨在利用技术改善所有人的健康。成功的健康信息系统从根本上依赖于整合和共享来自各种不同来源的数据。在许多情况下，存在着基本基础设施不平等的情况，这限制了健康信息系统的实用性。我们讨论了耶鲁跨学科合作中心在精准医学方面的工作，该中心旨在通过利用精准医学方法来改善加勒比地区和加勒比侨民的健康。我们描述了一种参与式信息学方法来共享数据，这是减少现有数据基础设施中不平等的潜在机制。
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