Source data abstraction in minutes, not hours.
ClinicAI reads patient records in any format and pulls out the exact data points your protocol needs, each one linked to its source. Your team verifies every field before it reaches the EDC.
Now onboarding pilot CROs and Phase 2 sponsors
Manual abstraction is the slowest step in your trial.
CRAs read hundreds of pages per patient and retype each data point into the EDC by hand. Errors trigger queries, queries trigger rework, and database lock slips. The workflow has barely changed in twenty years.
of manually transcribed fields contain errors that need a query to fix.
spent each year on abstraction, verification and correction.
What changes for your team.
| Measure | Manual abstraction | With ClinicAI |
|---|---|---|
| Time per patient record | 45–90 minutes | 10–15 minutes |
| How data gets entered | Retyped by hand | AI drafts, reviewer verifies |
| Source traceability | Manual notes, inconsistent | Every field linked to its source |
| Consistency | Varies by CRA | Same extraction logic every time |
| Deviation detection | Found at monitoring visits | Flagged at data entry |
Explore ClinicAI.
How it works
Four steps from raw chart to clean EDC entry. The AI reads, a person decides.
See the steps 02Product
Try the reviewer's screen. Accept, edit or reject each field and watch the audit trail.
Try the demo 03Compliance
Built around 21 CFR Part 11 from day one, for the questions your quality team will ask.
Read the architecture 04Pricing
Start with a pilot on your own data, then move to per-patient or platform pricing.
See pricingSee ClinicAI on your own protocol.
We're onboarding pilot customers now. Send us a protocol and a sample of de-identified records, and we'll show you the extraction.