AI mining unstructured EHR data to accelerate trial recruitment

Finding the right patients for clinical trials is often a slow bottleneck that delays life saving treatments. A new approach aims to fix this by using AI to mine Electronic Health Records efficiently. Unlike traditional searches that look for simple codes this AI can read unstructured notes and complex medical histories to identify eligible candidates with high precision. It processes vast amounts of data that would take human staff months to review manually.

By automating the screening process the technology promises to significantly shorten recruitment timelines. This helps new therapies reach the market faster while reducing the administrative burden on clinical staff who are often overworked. The system also improves patient access to experimental treatments by ensuring that no eligible candidate is overlooked simply because their data was buried in a text note rather than a checkbox.

Read the original article at: https://medcitynews.com/2025/10/patient-recruitment-reimagined-how-ai-is-key-to-clinical-trial-acceleration/


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