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中文摘要
翻译
项目总结/摘要 COVID-19疫情带来前所未有的临床及公共卫生挑战。虽然机构 收集大量关于COVID-19病例的临床数据,这些数据集单独可能不会多样化 足以得出人口水平的结论。此外,统计,机器学习和因果分析是最重要的 成功地处理任何特定组织中无法提供的大规模数据。为了解决这个问题, NCATS推出了国家COVID队列协作(N3 C),这是一项开放科学,基于社区的倡议 分享病人层面的数据进行分析该倡议要求参与机构分享以下信息: 他们的COVID-19患者以标准驱动的方式,包括人口统计学,生命体征,诊断,实验室 结果,药物和其他治疗。来自多个机构的数据将被合并和整合, 并将通过一个中央分析平台向调查人员提供访问权限。COVID-19数据 与N3 C倡议共享合作提供了一种机制,以启动与其他NIH的合作 赞助的数据共享计划,如我们所有的研究计划(AoURP)。 这一行政补充文件将支持在自愿捐助股清理数据并使之标准化的努力, N3 C数据仓库。该补充还将有助于在赖特介绍新的服务 中心支持我们的调查人员使用N3 C资源。它还将促进与 AoURP通过建立管道来收集和传输同意的患者的EHR数据, 现有的社区外展途径,为AoURP招募更多的参与者。项目 将由PI/执行委员会监督,并由研究信息学主任监督。 在我们当地的CTSA中心开发的程序和服务将共享并传播给CTSA 网络
英文摘要
Project Summary/Abstract The COVID-19 pandemic presents unprecedented clinical and public health challenges. Though institutions collect large amounts of clinical data about COVID-19 cases, these datasets individually might not be diverse enough to draw population level conclusions. Also, statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. To tackle this problem, NCATS introduced the National COVID Cohort Collaborative (N3C), an open science, community-based initiative to share patient level data for analysis. The initiative requires participating institutions to share information about their COVID-19 patients in a standard-driven way, including demographics, vital signs, diagnoses, laboratory results, medications, and other treatments. The data from multiple institutions will be merged and consolidated, and access will be provided to investigators through a centralized analytical platform. The COVID-19 data sharing collaboration with the N3C initiative offers a mechanism to initiate collaborations with other NIH sponsored data sharing programs, such as the All of Us Research Program (AoURP). This administrative supplement will support efforts to clean and standardize data at VCU, and to transfer it to the N3C data repository. The supplement will also assist in introducing new services at the Wright Center to support our investigators to use the N3C resources. It will also enable collaboration with the AoURP by establishing a pipeline to collect and transmit consented patients' EHR data and by building on existing community outreach pathways to recruit additional participants for the AoURP. The project will be overseen by the PI/Executive Committee and supervised by the Director of Research Informatics. Procedures and services developed at our local CTSA hub will be shared and disseminated to the CTSA network.
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Wright Regional Center for Clinical and Translational Science
  • 批准号:
    10617079
  • 项目类别:
  • 资助金额:
    $402.34万
  • 财政年份:
    2023
  • 负责人:
    FREDERICK Gerard MOELLER
  • 依托单位:
Quality Assurance and Reporting
  • 批准号:
    10158702
  • 项目类别:
  • 资助金额:
    $11.78万
  • 财政年份:
    2020
  • 负责人:
    FREDERICK Gerard MOELLER
  • 依托单位:
Center for Clinical and Translational Research
  • 批准号:
    10409659
  • 项目类别:
  • 资助金额:
    $370.39万
  • 财政年份:
    2018
  • 负责人:
    FREDERICK Gerard MOELLER
  • 依托单位:
Research Supplement to Promote Diversity in Health Related Research
  • 批准号:
    9815633
  • 项目类别:
  • 资助金额:
    $29.51万
  • 财政年份:
    2018
  • 负责人:
    FREDERICK Gerard MOELLER
  • 依托单位:
海外基金