Open-source interoperability infrastructure

Turn clinical narratives into FHIR.

FHIR at Will transforms unstructured clinical text into validated FHIR R4 resources. Self-host it and keep clinical data on infrastructure you control.

72-year-old patient with type 2 diabetes on metformin. BP 138/86. No known drug allergies.

FHIR at Will extract · validate
{ "resourceType": "Bundle", "type": "collection", "entry": [ { "resourceType": "Observation", "code": "Age", "value": "72 years" }, { "resourceType": "Condition", "code": "Type 2 diabetes" }, { "resourceType": "MedicationStatement", "medication": "metformin" }, { "resourceType": "Observation", "code": "Blood pressure", "value": "138/86 mmHg" }, { "resourceType": "AllergyIntolerance", "code": "No known drug allergies" } ] }

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How it works

From narrative to verified FHIR.

The model identifies grounded facts. Deterministic code handles everything else.

  1. 01

    Protect the narrative

    Reviewed rules minimize identifiers before the model sees the text. Protected values are restored only after extraction.

  2. 02

    Extract, then construct

    The model selects grounded facts through a closed catalog. Code turns those facts into a deterministic FHIR R4 Bundle.

  3. 03

    Verify before use

    Terminology and layered validation determine whether the result can proceed, needs review, or must be rejected.

A required check that cannot run never becomes a false pass. Explore the implementation details →

Why FHIR at Will

Built for real-world interoperability.

Self-hostable

Deploy on your infrastructure.

Privacy first

Your clinical data stays under your control.

Modular

Use only the terminology and validation components you need.

Open source

Transparent, extensible, and community driven.

Available on PyPI

Build with FHIR at Will.

Install the Python package and bring narrative-to-FHIR into your own application.

pip install fhiratwill

Join the community

Build a more interoperable future.

Contribute, suggest features, or explore the project.