AI-Driven Clinical Trial Matching
National Research HospitalHealthcare & Life Sciences
Enrollment Velocity3x Increase
Matching Accuracy99.8%
Operational Savings$450k /site
Operational bottlenecks and
regulatory friction.
Finding eligible participants for rare-disease clinical trials was a manual, slow process prone to bias and missing 40% of potentially eligible patients recorded in unstructured EHR data.
Deterministic reasoning with
multi-agent parallel flows.
A RAG-powered cognitive engine was built to parse multi-modal patient records (PDF scans, text notes, lab results) and match them instantly against trial protocols with high confidence scoring.
1.
Standardized EHR data ingestion with HIPAA-compliant guardrails.2.
Developed a protocol-matching agent with medical domain context.3.
Built a secure stakeholder portal for clinical researchers.4.
Automated primary screening and eligibility questionnaires.Instant
Patient identification and trial matching
100%
GDPR & HIPAA data compliance maintained
60%
Reduction in clinical staff administrative load
Technology Stack
LangChainClaude 3.5PineconeNextJSHIPAA-Cloud
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