NLP-driven protocol matching that scans EHR data to surface eligible candidates
— Clinical Trial Management
Solving: Slow eligibility screening and chronic under-enrollment in Phase II and III trials
Machine Learning Architecture
NLP-driven protocol matching that scans EHR data to surface eligible candidates
Python, spaCy, PostgreSQL
Validated Business Impact
Shortens patient enrollment timelines by 36%
Technical FAQ
How does JSRRB Technologies solve slow eligibility screening and chronic under-enrollment in Phase II and III trials?
We deploy NLP-driven protocol matching that scans EHR data to surface eligible candidates. Typical result: shortens patient enrollment timelines by 36%.
What technology and security model powers this Clinical Trial Management solution?
The solution is engineered on Python, spaCy, PostgreSQL, deployed under JSRRB's zero-trust architecture so your proprietary Clinical Trial Management systems and data stay encrypted and are never exposed to public AI training models.