2) Center for Clinical and Translational Science

  • Funded by National Institutes of Health (NIH)
  • Total publications:0 publications

Grant number: 3UL1TR003096-02S3

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2020
    2021
  • Known Financial Commitments (USD)

    $148,500
  • Funder

    National Institutes of Health (NIH)
  • Principal Investigator

    Robert P Kimberly
  • Research Location

    United States of America
  • Lead Research Institution

    University Of Alabama At Birmingham
  • Research Priority Alignment

    N/A
  • Research Category

    Health Systems Research

  • Research Subcategory

    Health information systems

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

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 effectivelyassemble the right cohort for a trial? What social determinants impact course and outcome? How can werapidly 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 HHSagencies, distributed clinical data networks (PCORnet, OHDSI, ACT/i2b2, TriNetX), and other partnerorganizations. The N3C aims to improve the efficiency and accessibility of analyses with COVID-19 clinicaldata, expand our ability to analyze and understand COVID, and demonstrate a novel approach forcollaborative pandemic data sharing.Under this proposal we will contribute electronic health record data on patients afflicted with COVID-19 andappropriate 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) DataIngestion and Harmonization (contributing our experience with harmonizing and terminologies for UAB,Columbia University, the NIH's Biomedical Translational Research Information System (BTRIS) and the UnifiedMedical Language System), and (c) Collaborative Analytics (with experience in developing collaborativeplatforms for team-based translational science and analytics for precision medicine).