Data readiness across fragmented clinical trial systems.

Data managers and biometrics teams need control, traceability, review state, discrepancy closure, provenance, and lock readiness — not just another dashboard. Vivo provides the governed workflow from detection to readiness.

The Challenge

Where teams get stuck today.

  • EDC checks only catch issues within a single system — cross-system discrepancies remain invisible
  • Completeness, review state, and lock readiness require manual assembly across exports and spreadsheets
  • No clear visibility into what changed after data was last reviewed
  • Query linkage, vendor follow-up, and issue ownership are tracked in disconnected trackers
  • Mapping logic, transformation history, and source provenance are buried or undocumented
How Vivo Helps

What Vivo makes possible.

  • Cross-system discrepancy detection across EDC, labs, safety, imaging, eCOA, IRT, and vendor files
  • Completeness and missingness monitoring by domain, subject, site, visit, and milestone
  • Changed-since-review detection — know exactly what changed after prior review or sign-off
  • Source provenance, mapping transparency, and transformation history visible in product
  • Record → subject → domain → workflow sign-off with audit-ready evidence trails
  • Lock-readiness blockers surfaced with supporting evidence for downstream review, audit, and inspection
Ask Vivo — Example Questions

The questions Data Management & Biometrics teams ask Vivo every day.

Ask Vivo

Which subjects have missing data for critical endpoint visits?
Which lab results are inconsistent with EDC entries?
What changed since the last data review?
Which discrepancies remain unresolved before the upcoming data cut?
Which records changed after they were previously reviewed or signed off?

"Vivo helped us to integrate many different data streams into one place, which allowed for more timely cleaning."

VP, Clinical Operations

Find data issues earlier.

See how Vivo helps data management & biometrics teams with live trial data, source-backed AI, and governed workflows.