Clinical Trial Navigator
Intelligent matching system connecting patients to relevant clinical trials.
The Challenge
Clinical trials struggle to enroll enough patients, with 80% failing to meet enrollment timelines. Eligible patients often never learn about relevant trials.
Matching patients to trials requires understanding complex eligibility criteria and comparing against detailed medical histories. Manual matching is slow and error-prone.
Patients who could benefit from experimental treatments miss opportunities simply because the matching process cannot scale.
“The treatments exist. The patients exist. We just cannot connect them fast enough.”
The Solution
We developed an intelligent matching system that analyzes trial eligibility criteria and patient records to identify suitable matches with high accuracy.
The system handles complex inclusion/exclusion criteria, temporal requirements, and geographic constraints automatically.
Both patients and research coordinators can use the platform to discover matching opportunities.
Key Features
- Natural language eligibility criteria parsing
- Patient record analysis against criteria
- Geographic and logistics matching
- Match confidence scoring
- Coordinator workflow integration
Implementation
Technical Approach
- Claude API for criteria understanding
- ClinicalTrials.gov API integration
- FHIR-compatible patient data ingestion
- PostgreSQL for match tracking
- React patient and coordinator portals
Change Management
- Research coordinator training
- Patient consent and privacy workflows
- Validation against manual matching
- Continuous feedback loop from coordinators
Results & Impact
- Dramatically more eligible patients identified per trial
- Enrollment timelines improved significantly
- Coordinators spend time on patient relationships, not searching
- Patients discover relevant trials they would have missed