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征严重挑战了 美国（US）医疗保健系统。解决这些挑战的关键是数据， 信息共享要做到这一点，需要将来自不同系统的个人级健康数据整合到 这是一个共同的结构，可以通过分析来回答关于COVID-19的重要问题。 在卫生信息学领域，有两种方法可以整合数据进行分析：（1） 联邦数据共享，将数据保存在各个位置，并允许聚合查询;（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 允许单个或行级查询。虽然联邦方法更容易实现， 更广泛地使用，协调方法是应对COVID-19挑战所需的方法 它将有助于对围绕这一疾病的科学问题进行更有影响力的数据分析。 弗吉尼亚大学（UVA），跨州综合转化健康研究的牵头网站 弗吉尼亚研究所（iTHRIV），是一个很好的定位，作为一个初步的，试点提供者的数据， 国家转化科学推进中心（NCATS）正在收集的分析数据库 国家COVID队列协作组织（N3 C）有四个原因iTHRIV可以在UVA做到这一点：1） iTHRIV实施了观察性医学成果伙伴关系（OMOP）通用数据模型 (CDM)这不仅是公认的向N3 C传输数据的CDM，也是目标数据传输模型 对于N3 C，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COVID-19表型实施的开发 因此，我们可以快速实现数据查询; 3）iTHRIV数据共享使用的架构， 包括多个CDM，这使我们能够将数据采集扩展到所有合作机构， iTHRIV和快速响应数据采集和传输所需的变化;以及4） 弗吉尼亚州与SMART IRB签订了IRB依赖协议，可以依赖任何非UVA IRB， 与SMART IRB签订了IRB信赖协议，这将简化我们参与的启动流程。 因此，UVA的iTHRIV为N3 C项目提供了一个理想的试点，并带来了iTHRIV Commons和 iTHRIV合作伙伴机构迅速支持快速扩展到其他CDM，作为更大的 财团Commons还在N3 C的后续阶段提供领先的团队科学平台 弗吉尼亚州的研究人员可以与来自美国和世界各地的其他人合作， N3 C项目在集中存储库中收集的数据， 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.