The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve Health

SARS-CoV-2大流行的未知和不断变化的特点严重挑战了 美国(美国)医疗保健系统。解决其中许多挑战的关键是数据和 信息共享。要做到这一点，需要将来自不同系统的个人级别健康数据整合到 可以分析的通用结构，用于回答有关新冠肺炎的重要问题。 在卫生信息学社区内，有两种整合数据进行分析的方法：(1) 联合数据共享，将数据保存在单独的位置，并允许聚合查询和(2) 统一的存储库，将来自不同站点的数据连接到一个具有通用数据模型的数据库中 这允许单独或行级查询。虽然联邦方法更容易实现，而且 更广泛地使用，协调的方法是应对新冠肺炎的挑战所需要的 这是因为它将使对围绕这一疾病的科学问题进行更有影响力的数据分析成为可能。 弗吉尼亚大学(UVA)，跨州综合转化性健康研究的牵头站点 弗吉尼亚研究所(ITHRIV)处于有利地位，可以作为协调机制数据的初步试点提供者， 分析数据库由国家高级翻译科学中心(NCATS)汇编 被称为国家COVID队列合作(N3C)。ITHRIV能够在UVA做到这一点有四个原因：1) ITHRIV实施了观察性医疗结果伙伴关系(OMOP)公共数据模型 这不仅是公认的用于向N3C传输数据的CDM，而且也是目标数据传输模型 对于N3C，这将使iTHRIV CDM成为验证数据转换的良好选择；2)iTHRIV信息学 团队一直积极参与OMOP中新冠肺炎表型实施的开发 3)iTHRIV数据共享采用了一种架构，该架构 包括多个清洁发展机制，这使我们能够将数据采集扩展到所有合作机构 ITHRIV并迅速对数据采集和传输所需的变化作出反应；以及4) 弗吉尼亚州与SMART IRB签订了IRB Reliance协议，并且可以依赖任何非UVA IRB 与SMART IRB签订了IRB Reliance协议，这将简化我们的启动流程，以便参与。 因此，弗吉尼亚大学的iTHRIV为N3C项目提供了理想的试点地点，并带来了iTHRIV公有资源和 ITHRIV与各机构合作，迅速支持向其他清洁发展机制快速扩展，以此作为大型清洁发展机制的典范 财团。在N3C的后续阶段，Commons还提供了领先的团队科学平台 弗吉尼亚州的研究人员可以在那里与来自美国和世界各地的其他人合作，分析 由N3C项目在集中存储库中收集的数据，并为 社区。

The unknown and changing characteristics of the SARS-CoV-2 pandemic have severely challenged the United States (U.S.) health care systems. The key to addressing many of these challenges is data and information sharing. To do this requires bringing together individual level health data from disparate systems into a common structure that can be analyzed for answers to the important questions about COVID-19. Within the health informatics community there are two approaches to integrating data for analysis: (1) Federated data sharing which keeps the data at individual locations and allows for aggregated queries and (2) Harmonized repository that joins the data from the different sites into one database with a common data model that allows for individual or row level queries. While the federated approach is easier to implement and much more widely used, the harmonization approach is what is needed to address the challenges of the COVID-19 pandemic since it will enable more impactful data analysis on the scientific questions surrounding this disease. The University of Virginia (UVA), the lead site for the cross-state integrated Translational Health Research Institute of Virginia (iTHRIV), is well positioned to serve as an initial, pilot provider of data for the harmonized, analytic database being assembled by the National Center for Advancing Translational Sciences (NCATS) known as the National COVID Cohort Collaborative (N3C). There four reasons iTHRIV can do this at UVA: 1) iTHRIV has implemented the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) and this is not only the accepted CDM for data transfer to N3C but it also the target data transfer model for N3C, which will make the iTHRIV CDM a good choice to validate data transforms; 2) The iTHRIV informatics team have been active participants in the development of the COVID-19 Phenotype implementation in OMOP and we can thus quickly implement the data queries; 3) The iTHRIV data Commons utilizes an architecture which includes multiple CDM and this gives us the capability to expand data acquisition to all partner institutions in iTHRIV and to rapidly respond to changes required in data acquisition and transfer; and 4) The University of Virginia has an IRB Reliance Agreement in place with SMART IRB and can rely on any non-UVA IRB that also has an IRB Reliance Agreement with SMART IRB, which will streamline our start-up process for participation. iTHRIV at UVA therefore provides an ideal pilot site for the N3C project, and brings the iTHRIV Commons and the iTHRIV partners institutions to rapidly support rapid expansion to other CDM as a model for the larger consortium. The Commons also provides a leading team-science platform during the follow-on phases of N3C where researchers within Virginia can collaborate with others from around the U.S. and the world to analyze the data collected in centralized repository by the N3C project and address impactful health problems for the community.