Enhance Clinical Trial Screening And Improve Patient Matching Accuracy

Traditional clinical trial enrollment often stumbles because screening relies too heavily on structured data fields, which fail to capture the nuanced realities of a patient's medical history. When research teams cannot see the "why" behind an eligibility match, they are forced into time-consuming manual reviews that delay potential treatments.

The Clinical Trial Matching solution from Paradigm Health bridges this gap by integrating advanced Large Language Models (LLMs) with holistic patient records. Rather than sifting through fragmented notes, coordinators can access natural language summaries that explain exactly how a patient meets specific criteria—such as histologically confirmed stage IV NSCLC—while linking directly to the original provider notes for verification. This transparency reduces false positives and allows teams to focus on high-value patient engagement. By surfacing higher-quality matches and providing an integrated evidence viewer, the screening process becomes a streamlined, confident workflow that accelerates the path from identification to enrollment.