West Virginia Clinical and Translational Science Institute: A Statewide Organization Building Research Excellence and Engaging Communities to Improve Health

在常规临床护理过程中收集的电子健康记录（EHR）数据提供了真实的世界证据来支持 决策和观察研究。国家COVID队列协作（N3 C）是一个集中的 国家EHR数据资源，用于研究COVID-19患者结局。机构支助的中心 临床和转化研究发展奖（IDEA-CTR）有效地促进了 数据和专业知识，以及IDEA-CTR N3 C计划已成为重要的刺激因素， 形成一个有凝聚力的协作CTR网络，为未来有意义的科学贡献做好准备 与IDEA州的少数民族和服务不足的人群有关。自成立以来， 2020年CTR N3 C计划，西弗吉尼亚州临床和转化科学研究所（WVCTSI） 提供的基础架构推动了参与IDEA的生产力和协作， CTR。对于IDEA-CTR N3 C计划的第3年，WVCTSI将继续提供网络范围的 基础设施，同时扩大新的数据分析技术，从而产生相关的数据， 优化COVID-19患者的治疗结果，同时推动跨部门的协作和研究者参与 IDEA CTR网络。我们将通过以下具体目标实现这些广泛目标： 目标1-提供IDEA-CTR基础设施，以推动相关科学和生产力。完成 为此，WVCTSI人员将为整个IDEA-CTR N3 C团队提供行政支持; 目标2 -增加WVCTSI数据输出的频率，以提高数据的及时可用性， 确保SARS-CoV-2变异数据在N3 C中适当发布。考虑到 SARS-CoV-2正在不断发展，可用的治疗药物数量也在不断增加， 需要导出数据，以最大限度地减少可能使用新数据的滞后时间;目标3 -扩展 新的数据分析技术，包括机器学习（ML）和人工智能（AI） 战略以及地理空间方法，并在IDEA-CTR N3 C中传播 财团机器学习方法利用大规模数据库的力量来识别 空间分析将调查COVID 19相关疾病的地理差异， 成果;目标4 -积极让研究人员参与高质量的COVID-19数据项目， 在他们各自的国家的人口，同时促进研究人员的发展。

Electronic Health Record (EHR) data collected during routine clinical care offer real world evidence to support decision making and observational research. The National COVID Cohort Collaborative (N3C) is a centralized national EHR data resource for the study of COVID-19 patient outcomes. Centers supported by the Institutional Development Award for Clinical and Translational Research (IDeA-CTRs) have effectively contributed data and expertise to N3C, and the IDeA-CTR N3C initiative has served as an important stimulus to forming a cohesive, collaborative CTR network, poised for meaningful future scientific contributions relevant to the minority and underserved populations in IDeA states. Since the inception of the IDeA- CTR N3C initiative in 2020, the West Virginia Clinical and Translational Science Institute (WVCTSI) has provided infrastructure that has driven productivity and collaboration among participating IDeA- CTRs. For Year 3 of the IDeA-CTR N3C initiative, WVCTSI will continue to provide network wide infrastructure, while expanding novel data analytic techniques, thereby generating data relevant to optimizing COVID-19 patient outcomes while driving collaboration and investigator engagement across the IDeA-CTR network. We will accomplish these broad objectives through the following specific aims: Aim 1- Provide IDeA-CTR infrastructure to drive relevant science and productivity. To accomplish this aim, WVCTSI personnel will provide administrative support to the entire IDeA-CTR N3C team; Aim 2 - Increase frequency of WVCTSI data exports to improve timely data availability and ensure SARS-CoV-2 variant data are released appropriately in N3C. Given the speed with which SARS-CoV-2 is evolving as well as the increasing number of available therapeutic agents, frequent data exports are needed to minimize lag time with which new data may be used; Aim 3 - Expand novel data analytic techniques, including machine learning (ML) and artificial intelligence (AI) strategies as well as geospatial methods and disseminate across the IDeA-CTR N3C Consortium. Machine learning approaches leverage the power of a large-scale database to identify efficacious therapies while spatial analyses will investigate geographic disparities in COVID 19 related outcomes; Aim 4 - Actively engage investigators in high quality COVID-19 data projects relevant to populations in their respective states while facilitating investigator development.