Natural Language Processing–Based Algorithm to Improve Patient Recruitment and Diversity in Clinical Trials: A Multicenter Study
9/15/2025 • JAMA Network Open • License: CC BY
Patel, R.
Abstract
This multicenter study evaluated an NLP-based AI algorithm designed to screen EHR data for clinical trial eligibility. Across three large health systems, the AI tool increased the rate of patient identification by 65% and boosted overall enrollment by 40%. Notably, it led to a 22% increase in the recruitment of patients from underrepresented minority groups, addressing a key challenge in clinical research.
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Clinical implications
An AI tool that automatically screens patient records for clinical trial eligibility was shown to increase enrollment by 40% and significantly improve the diversity of trial participants. This helps accelerate research and ensures new treatments are tested on more representative populations.
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