Hello to the vibrant OHDSI community ![]()
In today’s digital health landscape, the true value of health data emerges when it can be effectively used not only in day-to-day clinical care (primary use) but also in research, policymaking, health technology assessment, and evidence generation (secondary use). Key standards such as openEHR and OMOP-CDM each play a crucial role in this continuum: openEHR enables rich, structured clinical data modeling at the point of care, while OMOP provides a powerful framework for large-scale secondary use and analysis.
I am Somayeh Abedian, an official member of the openEHR Foundation, and I have been working for many years in the field of digital health, data standards, and interoperability. With the support and collaboration of my colleagues at openEHR, I am pleased to propose the creation of a new workgroup within OHDSI: openEHR and OMOP Workgroup.
This workgroup aims to establish a conceptual and technical bridge between openEHR and OMOP, enabling a seamless pathway for leveraging health data from clinical recording to multi-center research and evidence-based analytics.
Background
With the rapid growth of structured health data modeled through openEHR archetypes and templates, and the increasing use of OMOP-CDM in data-driven research, the need for a systematic and precise connection between these two standards is more pressing than ever.
openEHR, with its clinically driven modeling approach, is a powerful tool for capturing, structuring, and exchanging health data, and in some countries, it is already being used for secondary use purposes as well. However, bridging openEHR with OMOP-CDM can significantly extend this potential, paving the way for multi-center studies, large-scale analytics, and advanced evidence generation. This workgroup seeks to close this conceptual and technical gap.
Mission and Objectives
The mission of the openEHR and OMOP Workgroup is to build an international, interdisciplinary community of researchers and practitioners to:
- Develop and share knowledge on semantic and technical convergence between openEHR and OMOP
- Identify key needs, opportunities, and challenges in transforming data and concepts across the two standards
- Draft initial frameworks and guidelines to support collaboration and data exchange
- Explore the role of AI tools in automating mapping and transformation processes
- Develop prototypes and proof-of-concept pipelines demonstrating interoperability in action
Challenges to Address
Some of the key challenges this workgroup aims to tackle include:
- Structural differences between openEHR’s archetype-based modeling and OMOP-CDM’s relational data tables
- Semantic mapping and vocabulary harmonization between the two ecosystems
- Differences in data granularity and representation of clinical concepts
- The need for shared approaches to specific data types such as PGHD, PROMs, and PREMs…
Call for Collaboration
Several colleagues and researchers have already expressed their interest in joining this initiative. If you would like to play a role in shaping the future of collaboration between openEHR and OMOP, I warmly invite you to reply here or contact me directly so I can plan our first coordination meeting.
Together, we can take an important step toward unlocking the full potential of health data and building a strong bridge between the openEHR and OHDSI communities.
Best regards,
Somayeh Abedian, Ph.D
Senior Researcher in Digital Health and Interoperability
so.abedian@gmail.com
https://www.linkedin.com/in/somayeh-abedian-974ba227/
