80% of clinical trials fail to meet enrollment deadlines. Every day of delay costs $800,000 in lost prescription sales.
Why? Generic AI can't tell the difference between a heart procedure and a vein catheter.
Real example: Trial excludes "cardiac catheterization" (invasive heart exam). Patient has "central venous catheter" (IV line access). AI sees the word "catheter" and excludes an eligible patient.
This happens thousands of times. Eligible patients never contacted. $1,200 wasted per false screening. Research sites flooded with bad matches, lose trust in the system.
Veriprajna's Neuro-Symbolic AI uses SNOMED CT—the medical ontology mapping 350K+ concepts. We don't match words. We understand that heart procedures and vein procedures sit on different branches of the medical knowledge tree.
Result: >95% accuracy, reproducible audit trails, faster enrollment.
Let's discuss your clinical trial recruitment challenges.
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