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Creating and implementing a COVID-19 recruitment Data Mart.

Tara T Helmer1, Adam A Lewis1, Mark McEver1

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The COVID-19 pandemic strained healthcare, impacting clinical research. Vanderbilt

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Area of Science:

  • Clinical research informatics
  • Public health and epidemiology
  • Translational science

Background:

  • The COVID-19 pandemic significantly disrupted healthcare systems and clinical research operations.
  • Researchers faced challenges in understanding transmission, diagnosis, and developing treatments and vaccines.
  • Participant recruitment faced unprecedented demands, leading to potential fatigue.

Purpose of the Study:

  • To address the critical need for rapid participant identification in COVID-19 clinical research.
  • To develop and implement a technological solution to aid researchers in finding suitable study participants.
  • To mitigate participant fatigue by streamlining the recruitment process.

Main Methods:

  • Development of the COVID-19 Recruitment Data Mart by the Vanderbilt Institute for Clinical and Translational Research.
  • Integration of experienced project managers to support researchers and foster collaboration.
  • Onboarding of studies and matching of potential participants based on pre-consented individuals and study criteria.

Main Results:

  • The COVID-19 Recruitment Data Mart and support tools were launched on July 20, 2020.
  • Four studies have been onboarded since the platform's launch.
  • A total of 1693 potential participant matches were shared with researchers.

Conclusions:

  • The Data Mart system effectively facilitated the identification of potential participants for COVID-19 studies.
  • The system demonstrated scalability and potential generalizability for matching patients to time-sensitive clinical trials.
  • The combination of technology and project management support proved essential for successful research recruitment during the pandemic.