As Clinical Trial Numbers Fall, Experts Turn to AI to Improve Recruitment
MedCity News
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Contributed by: Kate Gamble
Summary
Modern clinical trials are facing severe recruitment challenges, with over 80 percent failing to meet their enrollment timelines in the United States, ultimately delaying patient access to new therapies. Traditional recruitment methodologies, which primarily focus on structured data, often overlook important insights captured in unstructured data within electronic health records (EHRs), such as physician notes and treatment responses. This gap in data utilization can lead to missed opportunities for engaging eligible participants. To enhance recruitment strategies and accelerate clinical research, the industry must adopt more innovative approaches that leverage the full breadth of available real-world data.
