AI-driven chart evaluation precisely identifies potential members in a uncommon illness examine in a brand new examine – The Journal of Healthcare Contracting

AI-driven chart evaluation precisely identifies potential members in a uncommon illness examine in a brand new examine – The Journal of Healthcare Contracting

March 5, 2026 – Newly revealed analysis by Cleveland Clinic and Dyania Well being demonstrates how a medically skilled giant language mannequin system can precisely and effectively display screen digital well being information (EMRs) to establish sufferers eligible for a uncommon illness scientific trial.

The examine, revealed in The Journal of Cardiac Failure, the official journal of the Coronary heart Failure Society of America, supplies real-world proof that synthetic intelligence (AI)-enabled medical chart evaluation can enhance the velocity, accuracy and fairness of trial enrollment.

The examine assessed the efficiency of an AI system – developed by Dyania Well being and deployed at Cleveland Clinic – tasked with pre-screening members for DepleTTR-CM, a Part 3 trial for transthyretin amyloid cardiomyopathy (ATTR-CM), a sort of coronary heart failure that primarily impacts older adults. In a single week, the system assessed 1,476 sufferers and recognized 46 as potential matches.

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