Use Case
Release Safety Gate
Validate before every upgrade, profile change, or mapping update reaches production.
For: FHIR platform leads, release engineers
The problem
You're about to push a change. How do you know it's safe?
Every IG profile update, FHIR server version bump, or terminology mapping change risks introducing silent regressions. A new constraint in an ISiK profile might invalidate hundreds of existing resources. A HAPI version upgrade might change how references are resolved.
Without a systematic validation gate, you're relying on hope — hoping nothing broke, hoping no one notices, hoping the next audit won't surface problems.
How Records solves it
A deterministic pass/fail signal before every release.
TriggerIG/Profile update, server upgrade, mapping change
EvidenceFull validation run with pass/fail signal per environment
DecisionSafe to release — or not?
What you get
Clear PASS/WARN/FAIL signal per environment before every release
Baseline comparison showing exactly what changed since last validated state
Drill-down from signal to specific resources and validation issues
Reproducible evidence for audit trail and compliance documentation
See this on your own data.
We'll validate your FHIR server against your profiles — live, in 30 minutes.