Use Case

Deep-Dive Investigation

Drill down from high-level validation signals to specific resources and field-level errors. Find the root cause instantly.

For: FHIR developers, data quality analysts, support engineers

The problem

A validation fails. Now what?

Your validation dashboard shows 14,892 issues across 679,000 resources. A conformance score of 84%. A WARN signal on your staging environment. These high-level numbers tell you something is wrong — but not what, where, or why.

Without field-level drill-down, your team spends hours grepping logs, querying the FHIR server manually, and cross-referencing profile definitions. The feedback loop from "signal" to "root cause" takes days instead of seconds.

How Records solves it

Click from signal → resource type → resource → field-level error.

Issues view showing field-level validation error with contextual highlighting

TriggerProduction validation fails with 200 errors

EvidenceFiltering issues by path reveals a single missing identifier

DecisionAssign specific fix to the relevant team

What you get

Drill-down from dashboard signal to specific resource and field

JSON context highlighting showing the exact element causing the error

Profile attribution — see which IG or profile triggered the issue

Issue grouping by type, severity, and resource for pattern recognition

See this on your own data.

We'll drill into your real validation issues — live, no synthetic data.

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