Center for Clinical and Translational Science

临床和转化科学中心

• 批准号: 10169828
• 负责人: Robert P. Kimberly
• 金额: $ 14.85万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10169828
• 关键词: Award; COVID-19; Center for Translational Science Activities; Clinical Data; Clinical Sciences; Data; Development; Electronic Health Record; Emergency Situation; Hospitals; Information Systems; Knowledge; Machine Learning; Outcome; Patient Care; Patients; Pharmaceutical Preparations; Process; Records; Science; Terminology; Translational Research; Unified Medical Language System; United States National Institutes of Health; Universities; analytical tool; base; clinical center; clinical database; clinical decision support; cohort; collaborative approach; collaboratory; coronavirus disease; data acquisition; data curation; data enclave; data harmonization; data ingestion; data sharing; data warehouse; experience; health data; health management; improved; member; novel strategies; pandemic disease; patient health information; patient registry; phenotypic data; precision medicine; repository; social determinants; support tools

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).

COVID-19全球紧急情况引发了许多困难的患者护理和医疗保健管理问题。 哪些药物是最可行的候选人为一个给定的病人？我们如何能有效地 召集合适的人群进行试验哪些社会决定因素影响过程和结果？我们怎么能 在每天都有新知识的情况下快速部署临床决策支持工具？ N3 C是跨转化科学奖中心（CTSA）中心的合作伙伴关系，几个HHS 机构、分布式临床数据网络（PCORnet、OHDSI、ACT/i2 b2、TriNetX）和其他合作伙伴 组织的N3 C旨在提高COVID-19临床分析的效率和可及性 数据，扩大我们分析和理解COVID的能力，并展示一种新的方法， 协作性大流行数据共享。 根据这项提案，我们将提供有关COVID-19患者的电子健康记录数据， 适当控制患者。我们还将参与三个工作流程：（a）表型和数据采集 （将我们在患者登记和数据存储库开发方面的丰富经验结合起来），（B）数据 摄入和协调（为UAB贡献我们在协调和术语方面的经验， 哥伦比亚大学、美国国立卫生研究院的生物医学转化研究信息系统（BTRIS）和联合 医学语言系统），以及（c）协作分析（具有开发协作分析的经验） 基于团队的转化科学和精准医学分析平台）。