• Structured EHR for cancer
• Clinical information models, openEHR, and the work of NRUA (National Editorial Board for Archetypes)
• Using SNOMED CT to ensure shared clinical meaning
• Helseplattformen’s pilot for sharing structured data through MyHealth@EU
• Collaboration and interplay between openEHR and HL7 FHIR
• Automated data capture from EHRs to quality registries
• Norwegian implementation of the EHDS (European Health Data Space)

By the end of the day, participants will be able to:

• Explain why standardized, structured health data is necessary
• Distinguish between clinical information models, terminology, and exchange standards
• Explain the primary roles of openEHR, SNOMED CT, and HL7 FHIR
• Understand how these standards possess distinct strengths and complement one another
• Describe what EHDS entails at a high level
• Understand how structured documentation enables data sharing, automated data capture, and reuse
• See how standards organizations, healthcare bodies, and vendors must collaborate on models, terminology, information exchange, and governance

Who Is the Academy For?
The Academy is relevant for:

• Leaders and decision-makers
• Clinicians and other healthcare professionals
• IT personnel and enterprise architects
• Information governance leads and standardization specialists
• Staff in municipalities, regional health trusts, and public administration
• Vendors, startups, and innovation hubs
• Anyone seeking to understand what structured health data means in practice

No prior technical knowledge is required. Presentations are structured to offer a solid, accessible foundation whether participants make decisions, build solutions, document clinical care, or utilize data downstream.

 

 

Speaker: Nard Schreurs, EHiN

Format: Plenary introduction

Nard opens the day with a brief introduction to EHiN, the Academy format, the day's core objectives, and track organization.

10:10–10:20 | Structured Health Data: Why Now?

Speaker: Tine Hunt, Helse Vest IKT

Format: Thematic introduction

• This session sets the stage by addressing:
• The core challenges structured health data aims to solve
• The need for seamless care pathways across organizations and systems
• Patient safety, resource scarcity, and the imperative for reuse
• Structured information as the foundation for collaboration, quality improvement, reporting, and AI
• The educational progression planned for the day

Key takeaway: Norway does not necessarily need a single, unified EHR system. Norway needs standardized health data and digital infrastructure that allows disparate systems to understand and exchange information.

10:20–10:35 | Structured EHR for Cancer: From Clinical Need to Reusable Data

Speaker: Siri Skram, Breast and Endocrine Surgeon at Oslo University Hospital and Clinical Coordinator for Structured EHR for Cancer in South-Eastern Norway Regional Health Authority (Helse Sør-Øst)

Format: Concise, practice-focused clinical case

The presentation highlights:

• Why oncology requires structured and reusable data
• Standardizing documentation within established care pathways
• Treatment and information requirements across hospitals and healthcare entities
• Challenges surrounding resource usage and duplicate documentation
• Clinical and administrative needs for reuse
• Key insights from the Structured EHR for Cancer initiative
• Why shared models and concepts are indispensable

Structured EHR for Cancer serves as a recurring clinical case study, illustrating the problem these building blocks aim to solve before subsequent sessions explain how.

10:20–10:35 | Structured EHR for Cancer: From Clinical Need to Reusable Data

Speaker: Siri Skram, Breast and Endocrine Surgeon at Oslo University Hospital and Clinical Coordinator for Structured EHR for Cancer in South-Eastern Norway Regional Health Authority (Helse Sør-Øst)

Format: Concise, practice-focused clinical case

The presentation highlights:

• Why oncology requires structured and reusable data
• Standardizing documentation within established care pathways
• Treatment and information requirements across hospitals and healthcare entities
• Challenges surrounding resource usage and duplicate documentation
• Clinical and administrative needs for reuse
• Key insights from the Structured EHR for Cancer initiative
• Why shared models and concepts are indispensable

Structured EHR for Cancer serves as a recurring clinical case study, illustrating the problem these building blocks aim to solve before subsequent sessions explain how.

11:10–11:30 | SNOMED CT: Ensuring Health Data Means the Same Thing

Speaker: Trine Angelskår, Norwegian Directorate of Health

Format: Focused instructional presentation

Topics covered:

• Distinctions between information models, terminologies, code sets, and classifications
• Why structure alone cannot guarantee shared meaning
• What SNOMED CT is and the specific role it fills
• How terminology binds to clinical information models
• How SNOMED CT supports documentation, exchange, and reuse
• Ensuring clinical concepts are interpreted identically across systems and use cases

The primary takeaway centers on the difference between how information is structured and what that information actually means.

11:30–11:35 | Short Transition

Participants attending the digital competence and service development track depart for lunch, while participants in the structured data track remain.

11:35–12:00 | From Structured Documentation to Cross-Border Sharing

Speakers: Mona Stedenfeldt and Eigil Gotås, Helseplattformen

Format: Practical case study and expert dialogue

Drawing from a pilot project transferring structured data to the National Contact Point for MyHealth@EU, this session illustrates how clinical documentation, information models, terminology, information governance, and system architecture must align.

Topics covered:

• Which clinical data points are shared
• How information is captured and structured
• How terminologies and code sets are applied
• What elements must be explicit for data to be understood outside its native EHR
• Preparing data for transmission to the national contact point
• Applicable standards, interfaces, and architectural components
• Preserving clinical meaning across the data pipeline
• Practical lessons and obstacles encountered during the pilot
• Implications for EHDS and future cross-border data exchange
• Requirements for sustainable, long-term information governance

Key takeaway: Structured data only delivers cross-organizational value when clinical content, terminology, architecture, exchange standards, and governance operate in synergy.

From European Requirements to Exchange and Reuse
13:00–13:30 | EHDS: From European Regulation to Norwegian Implementation

Speaker: Hans Løwe Larsen, Department Director, Division of Information Management and Methods, Norwegian Directorate of Health

Format: Presentation with brief audience Q&A

This session places the morning's building blocks and case studies into a broader European and national context:

• What the EHDS entails and the core challenges it addresses
• Primary versus secondary use under EHDS, and why the distinction matters
• Practical impacts of EHDS on citizens, healthcare professionals, and organizations
• Forthcoming mandates regarding information, software systems, and data exchange
• Why standardized, interpretable data is mandatory
• What Norwegian healthcare entities should monitor and prepare for
• Connections between EHDS, national infrastructure, and MyHealth@EU
• Essential organizational, professional, and technical prerequisites
• How existing Norwegian initiatives in structuring, terminology, and data exchange fit into future rollout

The session provides a high-level, practical operational briefing rather than a granular legal review.

13:30–14:05 | HL7 FHIR: From Structured Data to Exchange

Speaker: Line Andreassen Sæle, Norwegian Institute of Public Health (NIPH)

Format: Educational presentation

Topics covered:

• What HL7 FHIR is
• The specific problem the standard was built to solve
• The anatomy of a FHIR resource
• Profiles and implementation guides explained
• The distinction between modeling, coding, and exchanging information
• What technical and clinical agreements are required for disparate systems to interpret data identically
• A concrete example of clinical information exchange

Attendees will see that FHIR primarily enables exchange, that shared wire formats alone do not guarantee shared clinical meaning, and that information models, terminologies, and exchange specifications must function as a unit.

14:05–14:40 | openEHR and HL7 FHIR: Different Strengths, Shared Goals

Speakers: Line Andreassen Sæle, Jordi Piera Jiménez, and a representative from openEHR

Format: Joint instructional session

This session explores why openEHR and HL7 FHIR are complementary rather than competing standards. Each has distinct architectural focuses; together, they ensure clinical information can be modeled, retain its meaning, and be shared seamlessly.

Topics covered:

• Distinct design goals behind openEHR and HL7 FHIR
• Complementary strengths and primary domains of each standard
• Why they should not be framed as mutually exclusive alternatives
• Points of intersection and integration
• How clinical data flows from an openEHR model to a FHIR interface
• Preserving semantic integrity when transforming, exposing, or exchanging records
• The role of terminologies such as SNOMED CT within this interaction
• Practical guidelines for mapping and data transformations
• A walkthrough of an end-to-end data pipeline demonstrating both standards in action
• Active collaboration between the openEHR and HL7 communities
• Practical implications for software implementers, health authorities, national programs, and EHDS

Key takeaway: openEHR and HL7 FHIR possess distinct strengths but share an identical goal: ensuring clinical data can be structured, understood, exchanged, and utilized across borders and boundaries.

14:40–15:00 | From Standards to Synergy: What Does It Take in Practice?

Moderator: Nard Schreurs, EHiN

Panelists: Representatives from openEHR, SNOMED CT, and HL7 FHIR, joined by Jordi Piera Jiménez

Format: Structured expert panel

• A discussion shifting focus from theoretical architectural alignment to real-world, sustainable implementation:
• Prerequisites for standards working harmoniously in production environments
• What must be maintained and governed centrally at the national level
• What individual providers and software vendors must build and manage locally
• Clear allocation of ownership across models, terminologies, profiles, and implementation guides
• Guaranteeing clinical meaning through the entire data lifecycle
• Common misunderstandings that obstruct productive inter-standard collaboration
• What global standards-body collaboration means for Norwegian actors
• Avoiding duplicated efforts and competing artifact variants across independent projects
• Strategic implementation priorities for Norway

15:15–15:30 | From EHR to Quality Registry: Automated Data Capture in Practice

Speaker: Liv Marit Rønning Dørum, Cancer Registry of Norway (Norwegian Institute of Public Health)

Format: Focused practical case study

Topics covered:

• Eliminating the overhead and errors of manual, duplicate documentation
• Flowing clinical data directly from EHRs into specialized quality registries
• Requirements automated capture imposes on structure, standardization, and source data quality
• Real-world takeaways from pulling data out of DIPS Arena and Helseplattformen
• Determining what can be reliably automated versus what requires manual clinical validation
• Quantifiable gains for clinicians, registry managers, and healthcare organizations

The presentation traces a complete pipeline:

EHR Documentation → Structure & Terminology → Transmission → Ingestion & QA → Quality Registry Utilization

15:30–15:55 | Does Norway Have What It Takes for EHDS?

Moderator: Nard Schreurs, EHiN

Format: Moderated panel discussion with audience Q&A

This panel unites perspectives across:

• EHDS policy and national rollout
• Clinical information modeling and openEHR
• HL7 FHIR and interoperability
• Terminology and shared semantic meaning
• Automated data extraction and practical reuse
• Clinical workflows and operational adoption
• Key discussion questions:
• Which foundational building blocks does Norway already possess?
• Where do the most significant gaps remain?
• Is the greatest bottleneck technology, organizational structure, governance, or digital literacy?
• What must Norwegian organizations prioritize first?
• How do we safeguard national reuse and curb unnecessary local customization?
• What lessons can be applied directly from initiatives like Structured EHR for Cancer and the MyHealth@EU pilot?

15:55–16:00 | Summary and Wrap-Up

Session Lead: Tine Hunt, Helse Vest IKT

A closing synthesis consolidating the day's insights through five key questions:

1. Why do we need structured health data?
2. How is clinical information represented?
3. How do we safeguard shared understanding?
4. How is information moved across software systems and borders?
5. How do we repurpose data downstream?