AI-powered extraction for clinical trials. Upload patient records in any format. Get protocol-specific data with source citations. Your team reviews and verifies. The trial moves faster.
CRAs spend hours reading charts and transcribing data. Errors delay submissions. The process has not changed in 20 years.
Manual abstraction requires reading hundreds of pages and transcribing data points one by one into the EDC.
Manual transcription introduces errors that require queries, rework, and delay database lock.
Source data abstraction, verification, and correction consume a significant portion of trial budgets.
ClinicAI processes records in any format and outputs structured data ready for human review.
PDF exports, CCDA files, scanned documents, faxed records. Whatever format your sites provide.
Protocol-configured extraction pulls the specific data points your CRF requires. Each field includes confidence score and source citation.
Field-by-field review interface. Accept, edit, or flag each extraction. View the source document with relevant passage highlighted.
Export in CDISC-compliant format or transfer directly to your EDC. Full audit trail of AI suggestion and human decision.
| Metric | Traditional Abstraction | With ClinicAI |
|---|---|---|
| Time per patient record | 45-90 minutes | 10-15 minutes |
| Data entry method | Manual transcription | AI extraction with human verification |
| Source traceability | Manual notation, inconsistent | Every field linked to source document |
| Consistency | Varies by CRA | Standardized extraction logic |
| Deviation detection | Found during monitoring visits | Flagged at data entry |
ClinicAI is designed around regulatory requirements, not retrofitted for them.
AI presents extractions. Humans review and approve. No AI-generated data enters your EDC without explicit human sign-off.
Every AI suggestion, human edit, and final decision logged with timestamp and user ID. Export-ready for inspection.
ClinicAI mirrors your EDC structure but is not the regulated system. The human transfers verified data, maintaining clear separation.
Every extracted value links to the exact location in the source document. Inspectors can trace any data point to its origin.
Extract demographics, medical history, concomitant medications, adverse events, lab values, and protocol-specific endpoints from any chart format.
Configure inclusion and exclusion criteria. AI flags potential eligibility issues with supporting evidence before enrollment.
Real-time flags when extracted data conflicts with protocol requirements: visit windows, dose limits, prohibited medications.
Screen de-identified patient populations against protocol criteria to estimate enrollment potential before site selection.
Your data managers handle 15-20 patient records per day. With ClinicAI, they handle 50-60. Same team, same compliance infrastructure, 3x throughput. Take on more studies without adding headcount, or reduce cost per study and win more bids.
Discuss PartnershipYou cannot afford $500K implementations or 18-month deployment timelines. You need efficiency now, on your Phase 2 trial, without enterprise complexity. ClinicAI deploys in days, not months. Configure your protocol, upload your first records, start extracting.
Request PilotEnterprise sales background. Previously at WeWork building relationships with high-growth companies. Founder of ClientCoded (AI QA platform).
[Clinical background, trial experience, relevant credentials. Update this section with your cofounder's information.]
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