Insights

FHIR mapping and profile-driven transforms

Build pipelines that hold up in production by treating profiles as a contract, validating early, and shipping mapping as a repeatable workflow.

Start with the profile

If you do not define “valid” up front, you end up debugging downstream symptoms indefinitely.

  • Pick the target implementation guide (IG) and profiles your use case requires.
  • Define the minimum resource set you will support in the first increment (and what you will not).
  • Document the business use case for each required element so “why” stays clear as requirements shift.
  • Decide where terminology normalization happens (source, transform layer, or destination).

Make mapping a contract

A spreadsheet can work, as long as you treat it as a versioned artifact with tests.

What your mapping should include

  • Source field(s), constraints, and null handling.
  • Target FHIR path(s) and profile constraints.
  • Terminology rules and code system expectations.
  • Units, time zones, and formatting requirements.
  • Examples (good and bad) that double as fixtures.

Validation workflow

  • Validate generated resources against profiles before publishing.
  • Keep a small suite of fixtures for regression checks.
  • Track “known gaps” explicitly so they do not become silent data debt.
  • Fail fast with actionable error messages and owners.

Want a repeatable mapping workflow?

We can help define profiles, build mappings, implement validation, and leave behind documentation and fixtures your team can extend.