OpenEHR
Clinical Data
Architecture

Understanding OpenEHR: A Beginner's Guide

By MedCode Mastery
Understanding OpenEHR: A Beginner's Guide

As healthcare systems around the world strive for digital transformation, the question of how to represent, store, and exchange clinical data in a safe, reusable, and interoperable way is more urgent than ever. In the UK and beyond, one of the most influential approaches is openEHR—an open standard designed to support the long-term management of structured health records. While FHIR (Fast Healthcare Interoperability Resources) focuses on interoperability and exchange, openEHR is about robust, lifelong storage of health data. For beginners exploring healthcare IT, understanding openEHR is key to grasping how the digital NHS and wider healthcare ecosystem is evolving.

1. What is openEHR?

At its core, openEHR is a set of open standards for electronic health records (EHRs). Developed through an international community, it defines how health data should be structured, stored, and semantically understood across different systems and decades of use.

Unlike traditional systems that lock information into proprietary formats, openEHR creates a vendor-neutral “common language” for health data. This ensures that once patient information is captured, it remains usable and accessible even if software vendors or technologies change over time.

The openEHR standard is made up of two key layers:

  • Reference Model (RM): The technical backbone that defines how health data is stored, versioned, and queried.
  • Archetypes & Templates: Clinical models created by health professionals to represent things like blood pressure, diagnoses, medications, and allergies. These models are reusable building blocks, ensuring consistency in how data is captured and shared.

2. Why is openEHR important in UK healthcare?

The UK healthcare system faces unique challenges: an ageing population, fragmented IT systems across hospitals, GPs, and community care, and the pressure to integrate social care data with health data. openEHR addresses these challenges in several ways:

  • Data longevity: Clinical data needs to be stored for a patient’s lifetime—sometimes 100 years or more. Proprietary systems often fall short, but openEHR ensures that data can survive multiple software migrations.
  • Consistency across organisations: With openEHR archetypes, a blood pressure measurement recorded in Manchester looks the same as one recorded in London, enabling data comparison and reuse.
  • Support for Integrated Care Systems (ICSs): ICSs require consistent data standards to share information across GPs, hospitals, mental health, and social care providers. openEHR helps unify this information at the record level.
  • Research and secondary use: Because openEHR structures data semantically, it can be reused for clinical research, AI development, and public health analysis without losing context or quality.

3. openEHR vs FHIR: Complementary, not competing

Beginners often confuse FHIR and openEHR, but they solve different problems:

  • openEHR = focuses on storing and modelling structured health data for the long term. Think of it as the foundation of the health record.
  • FHIR = focuses on interoperability and exchange. Think of it as the language of communication between systems.

In practice, the two are complementary. Many modern UK healthcare projects use openEHR to manage structured data and FHIR APIs to exchange that data between systems like the NHS App, hospital EHRs, and research platforms.

4. Key benefits of openEHR

  • Vendor neutrality: Healthcare organisations retain ownership of their data, reducing the risk of vendor lock-in.
  • Clinical involvement: Archetypes and templates are defined by clinicians, not just IT developers. This ensures data models reflect real clinical practice.
  • Flexibility: New archetypes can be added without rewriting entire databases or systems. This supports evolving clinical knowledge.
  • Semantic interoperability: Data meaning is preserved across systems and time, allowing for safe sharing and secondary use.
  • Regulatory alignment: In the UK, openEHR supports standards like SNOMED CT and NHS Digital guidance, making it a natural fit for ICSs and digital transformation programmes.

5. Where is openEHR being used in the UK?

Several high-profile initiatives are already adopting openEHR in the UK healthcare landscape:

  • NHS England and ICS pilots: Some ICSs are using openEHR platforms to unify patient data across primary, secondary, and community care.
  • Trust-level implementations: Hospitals such as University Hospitals Plymouth NHS Trust have explored openEHR to modernise records and enable modular EHR development.
  • Research and academia: UK universities and research institutes are increasingly turning to openEHR for structured datasets that support AI and advanced analytics.
  • Vendors and platforms: Providers like Better, Cambio, and DIPS are working with NHS organisations to bring openEHR-based platforms into practice.

6. Challenges and limitations

Like any innovation, openEHR adoption faces hurdles:

  • Complexity: The dual-layer modelling (reference model + archetypes) can be difficult for beginners and requires specialist training.
  • Workforce skills gap: Clinicians, informaticians, and IT staff need to upskill in archetype modelling, which is still a niche skillset in the UK.
  • Integration with legacy systems: Many NHS Trusts still rely on older EHRs that are not designed to work with openEHR, requiring costly integrations.
  • Change management: Moving to openEHR requires a cultural shift in ownership of data and collaboration between IT and clinical teams.

7. The future of openEHR in the UK

The direction of travel is clear: openEHR is gaining traction as part of the UK’s move towards open platforms and modular EHRs. Over the next decade, we can expect:

  • Expansion across ICSs: As interoperability mandates grow, more ICSs will turn to openEHR for record standardisation.
  • Closer alignment with FHIR: Projects will increasingly combine openEHR for storage with FHIR APIs for exchange.
  • AI and analytics: Structured, semantic data from openEHR will fuel the next generation of AI-driven decision support systems.
  • International collaboration: With adoption in countries like Norway, Slovenia, and Germany, UK organisations will benefit from a global openEHR community and shared archetypes.
  • Policy support: NHS England’s emphasis on open standards makes openEHR a natural fit for national strategy.

8. Practical tips for beginners

If you’re new to openEHR, here’s how to get started:

  • Learn the basics: Explore resources from the openEHR Foundation and HL7 UK.
  • Experiment with tools: Platforms like Archetype Designer or Better Studio let you try modelling archetypes hands-on.
  • Engage with the community: The openEHR Clinical Knowledge Manager (CKM) is a collaborative repository where clinicians and IT professionals co-create archetypes.
  • Follow UK pilots: Keep an eye on NHS openEHR pilots and vendor case studies to see real-world examples.
  • Think long term: Understand that openEHR is not a short-term project—it’s about building health records that can last for decades.

Conclusion

openEHR offers a radical but practical approach to solving one of healthcare’s hardest problems: how to manage patient data over a lifetime, across organisations, and in a way that supports both care and innovation. For the UK, where the NHS faces both legacy system challenges and the urgent need for ICS integration, openEHR provides a path to more sustainable, vendor-neutral, and patient-centred digital health.

For beginners, the key takeaway is this: openEHR is about data ownership, longevity, and meaning. Combined with FHIR for interoperability, it represents a powerful model for the future of healthcare IT in the UK and globally.