Advancing Real-World Evidence Across Europe

OHDSI Europe is a collaborative network connecting researchers, data holders, national initiatives, and institutions to generate reliable, reproducible, and scalable real-world evidence.

All methods, tools, and standards are open source.

Get InvolvedExplore National Nodes →
[ HOME ]

Who Are We?

The Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") community is a multi-stakeholder, interdisciplinary collaborative dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale analytics. OHDSI aims to generate accurate, reproducible, and well-calibrated evidence that promotes better health decisions and better care.

The global OHDSI community spans more than 4,700 collaborators across 88 countries and 6 continents, with data standardized across 550+ sources collectively representing nearly one billion patient records. OHDSI Global is a community-driven initiative led by a coordinating center based at Columbia University's Department of Biomedical Informatics. Alongside regional chapters in Asia-Pacific, Latin America, North America, and beyond, OHDSI Europe contributes by building a strong European OHDSI community that actively contributes to the further extension of the OMOP Common Data Model and analytical tool development. The European coordinating center is embedded within Erasmus MC's Health Data Science Group in Rotterdam.

We work closely with national initiatives, regulators, academia, industry, and patient organisations to enable transparent and secure federated research. OHDSI's open-science foundation makes it one of the largest real-world evidence initiatives in the world.

-

European National Nodes

-

Data Sources in Europe

26

European OMOP Adopting Countries

-

Community Members in Europe

OHDSI Global →

Why OHDSI Europe?

Strengthening Evidence Generation — Across Europe

Europe's health data landscape is both an opportunity and a challenge. Diverse coding systems, governance frameworks, and infrastructure mean that cross-border evidence generation has historically been difficult to achieve at scale — and this is exactly the gap OHDSI is built to close. OHDSI Europe brings multiple stakeholders together to support more consistent, collaborative, and scalable evidence generation across borders.

  • Supporting consistent OMOP adoption across national contexts
  • Connecting local expertise to a European network
  • Helping institutions participate in federated research
  • Sharing best practices, tools, and training across borders
  • Contributing to the implementation of the European Health Data Space (EHDS2)

This coordinated approach ensures that European data can be used to generate trustworthy, large-scale evidence — without compromising privacy or local control.

Learn more about our mission and vision →

Latest in Europe

Updates from the European OHDSI Community

Stay informed about community calls, implementation updates, study announcements, and major events from across Europe.

Follow OHDSI Europe on LinkedIn →

Latest in Global

Updates from the Global OHDSI Community

Stay informed about community calls, implementation updates, study announcements, and major events from across the globe.

Follow OHDSI Global on LinkedIn →

Impact in Europe

Real Insights. Real-World Data. Real-World Evidence.

From pharmacovigilance to public health and chronic disease research, OHDSI Europe supports large, federated analyses across millions of patient records including diverse populations — without moving any data. Our community collaborates through shared OMOP CDM implementations, open-source tools, coordinating National Nodes, and Europe-wide research programmes.

Discover a selection of European collaborations and projects in the carousel below, which dynamically updates with each page refresh to showcase the diversity of initiatives using the OMOP CDM and OHDSI tools. For a complete overview, please visit the collaborations page via the link below.

Explore Collaborations →