Developing Practical Recommendations for Precision AI-enabled Clinically Embedded Research (PACER)

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Key facts

  • Disease

    COVID-19
  • start year

    2021
  • Known Financial Commitments (USD)

    $226,192
  • Funder

    Greenwall Foundation
  • Principal Investigator

    Justin Starren
  • Research Location

    N/A
  • Lead Research Institution

    N/A
  • Research Priority Alignment

    N/A
  • Research Category

    Research to inform ethical issues

  • Research Subcategory

    Research to inform ethical issues in Research

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The COVID pandemic has underscored two pre-existing issues: 1) minority groups are underrepresented in clinical research; and 2) traditional clinical research is too slow to address rapidly evolving situations. This project assesses the ethical implications, from the perspectives of relevant stakeholders, of new artificial intelligence-based research models that allow real-time, large-scale, low risk, community-based research; and, will develop and disseminate an empirically-guided framework with practical implementation recommendations based on ethical principles and pragmatic experience.