AI Patient Recruitment Matching Software for Clinical Trials                                

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# 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.

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