HL7 Norway
FHIR Implementation Guide for the Norwegian Municipal Sector
Shared starting point for understanding and consistent use of FHIR in municipal health and care services.
Norwegian

FHIR Implementation Guide for the Norwegian Municipal Sector
0.2.0 - ci-build NO

FHIR Implementation Guide for the Norwegian Municipal Sector - Local Development build (v0.2.0) built by the FHIR (HL7® FHIR® Standard) Build Tools. See the Directory of published versions

EHDS

Why This Matters For The Municipal Sector

The European Health Data Space (EHDS) is the EU framework and regulation for digital health data. Its goal is to enable use of health data across countries and actors, both for care delivery (primary use) and for safe and lawful reuse (secondary use). For municipalities, this means that data from care and support services must be able to participate in a shared European health data infrastructure.

The municipal sector has large and varied data sets, including home care, nursing homes, child health services, rehabilitation, substance use and mental health services. EHDS means that these data must be described and shared in an interoperable and standardized way. This is one of the reasons for this implementation guide.

Status In The EU

  • The EHDS Regulation was adopted and published in the EU Official Journal on 5 March 2025, entering into force on 26 March 2025.
  • Implementation will happen gradually through implementing acts and national processes.

What EHDS Sets Out To Do

  • Primary use: citizens should have simple access to their own health data and be able to share them across borders when needed in a care pathway.
  • Secondary use: authorities, researchers and innovation communities should be able to access data in a safe, lawful and controlled way for defined purposes.
  • Interoperability: Electronic health record (EHR) systems must support European specifications for exchange of health information, the European EHR Exchange Format, so data can flow between countries and vendors.

The terms primary use and secondary use follow the definitions in the EHDS regulation, where primary use relates to care delivery and secondary use relates to reuse of data for research, innovation, health administration and policy.

What This Means For Municipal Data

For the municipal sector, EHDS implies among other things:

  • clearer expectations for structure and semantics in shared data
  • reuse of national and European profiles where they exist
  • increased need for traceability, quality and documented concepts

Why FHIR Is Central

EHDS is based on shared, machine-readable structures and common semantics. HL7 FHIR is the most widely used international standard for modern health data exchange and is already used in European national initiatives. A Norwegian municipal IG must therefore:

  • start from Norwegian base profiles (no-basis) where they exist
  • describe municipal patterns and minimum data so data can be reused across actors
  • support European interoperability without creating local isolated solutions

Consequence For This Guide

This means that the guide:

  • should be normative, but pragmatic
  • should describe how municipal data is modelled in FHIR, not create everything from scratch
  • should contribute to shared understanding between municipalities and specialist health services
  • should provide a basis for meeting requirements introduced through EHDS implementation

Relation To National Best Practice (Normative)

  • EHDS alignment in this IG SHALL build on national profiling principles from HL7 Norway.
  • Where Norwegian base profiles (no-basis) exist, they SHOULD be used before new municipal variants are established.
  • New EHDS-related needs for profiles or extensions SHOULD be handled through the HL7 Norway FHIR process.

Further Work (Guidance)

  • Map which municipal data categories are relevant to EHDS-prioritized data areas.
  • Ensure that municipal concepts can be expressed with FHIR resources and Norwegian base profiles.
  • Identify where Norwegian profiles are missing and propose additions in a coordinated way.
  • Establish minimum data sets and data quality expectations in collaboration with national actors.

References