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The Research Participant Recruitment Assistance team has established an innovative AI-driven initiative to streamline patient recruitment for clinical trials. The program is now available to identify potential trial candidates by scanning the electronic health record through a large language model under a secure, HIPAA-compliant agreement. This allows researchers to efficiently find trial-eligible patients using criteria that otherwise is not easily accessible in the patient record, including pathology and radiology reports and clinical notes.
Recruitment is often the most time-consuming aspect of clinical research. “The AI program can help us more quickly search the EHR for eligible patients, so that precious coordinator time can be focused on contacting and recruiting eligible participants, not searching the medical record,” says Ann Marie Navar, M.D., Ph.D., faculty lead of the Recruitment team.
The AI pipeline was developed by Michael Dohopolski, M.D., the newest faculty member of the Recruitment Assistance team who has also created a customizable tracking dashboard. Regular updates ensure researchers have access to the most comprehensive list of potential candidates.
They are supported by the CTSA and do not charge investigators for their services. In addition to the AI pipeline, the Recruitment team provides additional support for research recruitment, including EHR-based patient identification, bulk MyChart messaging, and custom study recruitment tracking tools.
Interested research teams can contact the operational lead Kathleen Esselink to learn more.
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