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FHIR mapping and profile-driven transforms

Treat profiles as contracts, validate resources before publication, and maintain mappings as versioned workflows.

By Joseph (Joey) Bartlett · Updated August 31, 2026

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Start with the profile

Define the target profile, identifiers, references, terminology, units, and null behavior before writing the transform. Otherwise a resource can look plausible while failing the receiving workflow.

  • Pick the target implementation guide (IG) and profiles your use case requires.
  • Define the minimum resource set you will support in the first release (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 untracked mapping defects.
  • Fail fast with error messages that name the failed rule and owner.

See related FHIR delivery examples

Want a repeatable mapping workflow?

We can define profiles, build mappings, implement validation, and document fixtures your team can extend.