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

摘要 2020 年，国家数据中心成立了国家新冠肺炎队列协作组织 (N3C)，以 Health (CD2H) 与国家转化科学促进中心 (NCATS) 合作，作为 用于研究 COVID-19 患者结果的集中国家电子健康记录 (EHR) 数据资源。 在过去 3 年里，西弗吉尼亚州临床和转化科学研究所 (WVCTSI) 利用 N3C 倡议作为整个西弗吉尼亚州的协作力量。此外，N3C 还推动了形成 临床和转化研究机构发展奖 (IDeA- CTR）计划推动有意义的科学举措，以改善 IDeA 人群的成果 国家，特别是代表性不足的少数群体和服务不足的人口。 WVCTSI 有效领导了 12 通过各种活动实现富有成效的 N3C 合作中的 IDeA-CTR。 IDeA-CTR N3C 第 4 年 倡议，WVCTSI 将继续提供网络范围内的基础设施，以推动相关科学和 生产力，组织每月的“All Hands On Deck”会议并确保 IDeA-CTR 网站完成 每季度生产力报告。我们将通过多种方式建立分析能力：1）合并 使用隐私保护记录链接对外部数据集（例如医疗保险、医疗补助）进行第 4 年分析 (PPRL)，2) 在 N3C 项目中扩大机器学习 (ML) 和人工智能 (AI) 的使用，利用 这些领域现有知识渊博的 IDeA-CTR 研究人员，以及 3) 引入空间分析的使用 调查 COVID-19 相关结果的地理差异。我们还将积极让调查人员参与 通过提供支持，参与与各自州人口相关的高质量 COVID-19 数据项目 向调查人员提供信息，包括审查和回复服务台请求单，从而加快问题的解决 所有 IDeA-CTR 生成的票证。我们还将协调和举办相关的研讨会和研讨会 新颖的分析技术、机器学习/人工智能和空间流行病学。最后，我们将增加 EHR 的频率 每月从西弗吉尼亚大学上传数据。

ABSTRACT In 2020, the National COVID Cohort Collaborative (N3C) was established by the National Center for Data to Health (CD2H) in partnership with the National Center for Advancing Translational Sciences (NCATS) as a centralized national electronic health record (EHR) data resource for the study of COVID-19 patient outcomes. Over the past 3 years, the West Virginia Clinical and Translational Science Institute (WVCTSI) has leveraged the N3C initiative as a collaborative force across WV. In addition, N3C has served as an impetus to form a collaborative network among Institutional Development Award for Clinical and Translational Research (IDeA- CTR) programs to drive meaningful scientific initiatives to improve outcomes among populations in IDeA states, particularly underrepresented minority and underserved populations. WVCTSI has effectively led 12 IDeA-CTRs in productive N3C collaborations through a variety of activities. For Year 4 of the IDeA-CTR N3C initiative, WVCTSI will continue to provide network-wide infrastructure to drive relevant science and productivity, organizing monthly “All Hands On Deck” meetings and ensuring IDeA-CTR sites complete productivity reporting on a quarterly basis. We will build analytic capacity in several ways: 1) incorporating into Year 4 analyses of external datasets (e.g., Medicare, Medicaid) using privacy-preserving record linkage (PPRL), 2) expanding use of machine learning (ML) and artificial intelligence (AI) in N3C projects, leveraging existing knowledgeable IDeA-CTR investigators in those areas, and 3) introducing use of spatial analyses to investigate geographic disparities in COVID-19 related outcomes. We will also actively engage investigators in high quality COVID-19 data projects relevant to populations in their respective states by providing support to investigators that includes reviewing and responding to help desk tickets, thereby expediting resolution of all IDeA-CTR-generated tickets. We will also coordinate and conduct relevant symposia and workshops related to novel analytic techniques, ML/AI, and spatial epidemiology. Finally, we will increase frequency of EHR data uploads from WVU to occur monthly.