Real-world validation of a multimodal LLM-powered pipeline for high-accuracy clinical trial patient matching.

ABSTRACT:

Background

Patient recruitment in clinical trials is hindered by complex eligibility criteria and labor-intensive chart reviews. Prior research using text-only models has struggled to address this problem in a reliable and scalable way due to (1) limited reasoning capabilities, (2) information loss from converting visual records to text, and (3) lack of a generic EHR integration to extract patient data.

Methods

We introduce a broadly applicable, integration-free, LLM-powered pipeline that automates patient-trial matching using unprocessed documents extracted from EHRs. Our approach leverages (1) the new reasoning-LLM paradigm, enabling the assessment of even the most complex criteria, (2) the visual capabilities of the latest LLMs to interpret medical records without lossy i

SUBMITTER: Callies A 

PROVIDER: S-EPMC12749220 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature