When to use Records
Five scenarios where continuous FHIR validation produces the evidence you need to make confident decisions.
Release Safety Gate
Validate before every upgrade, profile change, or mapping update reaches production.
For: FHIR platform leads, release engineers
Drift & Regression Detection
Catch data quality regressions from server upgrades, profile changes, and terminology updates.
For: FHIR platform leads, data quality analysts
Acceptance & Handover Evidence
Produce auditable proof of data quality when accepting a vendor delivery or migrating systems.
For: Project leads, procurement managers
Deep-Dive Investigation
Drill down from high-level signals to specific resources and field-level errors in seconds.
For: FHIR developers, data quality analysts
Multi-Environment Comparison
Compare validation state across dev, staging, and production before promoting changes.
For: DevOps engineers, FHIR platform architects