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Use cases

Drift Detection

See what changed between comparable validation runs and trace the delta to the affected resource and field.

Separate a data change from a change in the checks

A delta is meaningful when the earlier and current runs use a comparable scope and validation basis.

Earlier run

The accepted reference point.

Current run

The same source checked again.

Run comparison

Check comparability before interpreting the delta.

What changed

Added, resolved and unchanged findings.

Follow a new finding from the comparison to its field.

  1. See the new error against the baseline

    A new structural error appears after a source change. The comparison separates it from findings already present in the baseline.

    Actual comparison of runs 1981 and 1980: one new structural error under the same fixed validation basis.
  2. Find the affected Patient

    Inspect the new finding to see its field path and the one Patient affected in this run.

    The comparison opens its actual run-scoped finding and the one affected synthetic Patient.
  3. Inspect the changed value

    Patient.active contains the string true. FHIR requires a boolean. The resource view shows the value that explains this same regression.

    The original synthetic source contains the string true at Patient.active; the selected finding retains run context.

The compared runs use the same recorded validation basis. This new finding identifies a data change; deciding whether it was intended still requires the source context.

Compare changes in your own environment.

Choose a baseline and a changed delivery to investigate with your team.