Piloting an automated clinical trial eligibility surveillance and provider alert system based on artificial intelligence and standard data models.
Journal:
BMC medical research methodology
Published Date:
Apr 11, 2023
Abstract
BACKGROUND: To advance new therapies into clinical care, clinical trials must recruit enough participants. Yet, many trials fail to do so, leading to delays, early trial termination, and wasted resources. Under-enrolling trials make it impossible to draw conclusions about the efficacy of new therapies. An oft-cited reason for insufficient enrollment is lack of study team and provider awareness about patient eligibility. Automating clinical trial eligibility surveillance and study team and provider notification could offer a solution.