National Research Hospital

AI-Driven Clinical Trial Matching

Enrollment Velocity3x Increase
Matching Accuracy99.8%
Operational Savings$450k /site
AI-Driven Clinical Trial Matching
The Challenge

Operational bottlenecks &
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.

The Solution

Multi-agent architecture with
deterministic 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.
Business Impact

Documented ROI Metrics

Instant

Patient identification and trial matching

100%

GDPR & HIPAA data compliance maintained

60%

Reduction in clinical staff administrative load

Tech Stack

LangChainClaude 3.5PineconeNextJSHIPAA-Cloud

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Verified Result

Audited & Production Active