Center for Clinical and Translational Science

新冠肺炎全球突发事件引发了许多棘手的患者护理和医疗保健管理问题。 对于特定的患者，哪些药物是最可行的候选药物？我们如何才能高效和有效地 召集合适的队列进行试验？哪些社会决定因素会影响进程和结果？我们怎么能 当每天都有新知识可用时，快速部署临床决策支持工具？ N3C是一个跨越翻译科学奖(CTSA)中心、几个HHS的合作伙伴 机构、分布式临床数据网络(PCORnet、OHDSI、ACT/i2b2、TriNetX)和其他合作伙伴 组织。N3C旨在提高与新冠肺炎临床分析的效率和可访问性 数据，扩展我们分析和理解COVID的能力，并展示一种新的方法 协作性疫情数据共享。 根据这项提议，我们将提供新冠肺炎患者的电子健康记录数据，并 适当控制患者。我们还将参加三个工作流程：(A)表型和数据采集 (利用我们在开发患者登记簿和数据储存库方面的丰富经验)，(B)数据 吸收和协调(贡献我们在协调和UAB术语方面的经验， 哥伦比亚大学、美国国立卫生研究院生物医学转化研究信息系统(BTRIS)和联合 医疗语言系统)，以及(C)协作分析(具有开发协作的经验 基于团队的翻译科学平台和精准医学分析平台)。

The COVID-19 global emergency raises many difficult patient care and healthcare management questions. Which drugs are the most viable candidates for a given patient? How can we efficiently and effectively assemble the right cohort for a trial? What social determinants impact course and outcome? How can we rapidly deploy clinical decision support tools when new knowledge is available every day? The N3C is a partnership across the Centers for Translational Science Award (CTSA) hubs, several HHS agencies, distributed clinical data networks (PCORnet, OHDSI, ACT/i2b2, TriNetX), and other partner organizations. The N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinical data, expand our ability to analyze and understand COVID, and demonstrate a novel approach for collaborative pandemic data sharing. Under this proposal we will contribute electronic health record data on patients afflicted with COVID-19 and appropriate control patients. We will also participate in three workstreams: (a) Phenotype and Data Acquisition (brining our extensive experience with development of patient registries and data repositories), (b) Data Ingestion and Harmonization (contributing our experience with harmonizing and terminologies for UAB, Columbia University, the NIH’s Biomedical Translational Research Information System (BTRIS) and the Unified Medical Language System), and (c) Collaborative Analytics (with experience in developing collaborative platforms for team-based translational science and analytics for precision medicine).