The document explains that patient recruitment drives 32% of clinical trial costs and nearly 80% of trials miss enrollment timelines, making matching a critical bottleneck. Quantiphi’s Clinical Trial Patient Matching solution uses LLMs and a RAG-based approach to compare patient EHR data with protocol inclusion and exclusion criteria, generating clear met/unmet outputs with reasons. Key features include entity extraction, protocol-based ranking, cohort creation, and interactive dashboards. Benefits include faster drug development, improved protocol adherence, and scalable operations across concurrent trials. The stack runs on OCI GPUs, Autonomous Vector DB, NVIDIA NeMo, and Triton.

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