Ship FHIR changes without guessing.
Records is a FHIR DataOps control plane that produces reproducible evidence signals adjacent to your server/CDR. Know exactly when your FHIR data stops being conformant — before it reaches production.
Ensure data quality and compliance without modifying your existing infrastructure.
The Problem
FHIR implementations pass validation on day one. Then they drift.
No Proof of Quality
You hope your data is compliant, but you can't prove it to auditors or partners.
A terminology server update changes 200 codings. Nobody notices for 3 weeks.
Blind Upgrades
Updating your FHIR server or validator is scary because you don't know what might break.
HAPI Validator v6.3 → v6.4 produces different results for identical resources.
Env Divergence
Dev works, Staging is okay, Prod is failing. Nobody knows why.
Dev validates with R4@1.4.0, Prod runs R4@1.5.0 — different constraints, silent failures.
The question that matters
“Will you know when it stops being valid?”
If your answer is “no” or “maybe,” your implementation lacks temporal governance. Point-in-time validation proves conformance at deployment time — it proves nothing about tomorrow.
System Context
Records observes your FHIR data through standard APIs—read-only, non-intrusive.
Hard Invariants
6 hard invariants define what Records never does.
When You Use Records
Four concrete scenarios where Records produces the evidence you need.
Your FHIR server stores data. Who validates it?
Records deploys alongside your existing infrastructure — no migration, no replacement. We'll walk you through a technical demo on your own data.