During the EHDEN project phase, a rich library of educational content was created to support the community in adopting the OMOP Common Data Model, improving data quality, and advancing real‑world evidence generation. In this section, we highlight a curated selection of those webinars, podcasts, interviews, and training sessions that remain highly valuable today. These resources continue to offer practical guidance and expert insight for anyone working within the real-world evidence using the OMOP CDM ecosystem.
Webinars
Introduction to EHDEN - the project: Data Saves Lives Coffee Talk (short intro to the project)
Determining value for patients and harnessing RWE (October 2020)
Evidence generation for HTA: what role for the OMOP Common Data Model and EHDEN? (January 2020)
Study-a-thon: From question to publication in 5 days (March 2019)
Kees van Bochove (TheHyve) and Daniel-Prieto Alhambra (University of Oxford) discuss the EHDEN and OHDSI Study-a-thon which was organized at the University of Oxford in December 2018. They explain the concept of this 5-day meeting and how they were able to go from question, to cohort characterization, to data analysis and ultimately to evidence generation in only 5 days.
Blog posts
BLOG – Transforming Healthcare Through Education: What’s Next for the EHDEN Academy?
BLOG – Collaboration and the Safer Use of Health Data
BLOG – Ensuring a successful EHDEN future
BLOG – E-thons: paving the way for generating faster real world evidence
Podcasts
European Patients' Podcast - All about EHDEN Mini Series, Part 1: Intro to EHDEN
Peter Rjinbeek explains the basics of health data, how health data is used today, how to maximise its potential, and the EHDEN project. Listen to this episode.
Ethical, Legal & Social Implications Episode #2: Exploring the concept of trust and health data with Dr Mackenzie Graham
We explore what is meant by, 'trust', and also trustworthiness, and reliance on appropriate governance systems to support individuals and patients being confident in who and how they can trust. Within this we investigate underlying concepts that result in trust, what it is and what it takes for trust and trustworthiness, such as motives and prior experience, very much within a motivation-based model. Listen to this episode.
Ethical, Legal & Social Implications #1: The Concentric Circles Framework and working with health data through federated data networks
The closer a researcher is to the subject in the model, the greater granularity and need for protection of the subject (compliance with law, privacy and confidentiality), whereas the further out, the data is often less granular, with less protections. It may be in the future that metadata will contain such relevant information to aid a researcher in understanding both the constraints on the use of health data, and their responsibilities in using it. Listen to this episode.
Using EHDEN to Determine Value for Patients (October 2020)
Voice of EHDEN Episode #1 - Global open science and observational research: a conversation with international thought leader, Patrick Ryan, OHDSI & Janssen
In our first episode of season one, Patrick Ryan, PhD, VP Observational Health Data Analytics, Janssen R&D, Assistant Professor, Adjunct; Department of Biomedical Informatics, Columbia University Medical Center, and founding member of Observational Health Data Sciences & Informatics (OHDSI) joins us to discuss the last decade of OHDSI's and now EHDEN's methodological and tool development. Listen to this episode.
Voice of EHDEN Episode #7 - The intricacies of data quality, the Data Quality Dashboard, and a new sub-specialty focus on data quality: a discussion with Clair Blacketer
In this episode we discuss a definition of data quality and some of the inherent challenges with real world data quality with Clair Blacketer, Janssen Epidemiology, OHDSI and Erasmus MC. Clair describes the work she and colleagues have been engaged in on the development of a criteria-driven Data Quality Dashboard (DQD). Listen to this episode.
Voice of EHDEN Episode #8 - Using historical data to predict patients' future outcomes and exciting times for predictive, federated modelling with Peter Rijnbeek
In this episode, we explore developments in predictive modelling and its growing impact in research and for clinical practice, with a focus on methodology, quality and lessons learned. Our guest in this episode is Peter Rijnbeek, Assoc Prof, Health Data Sciences at Erasmus MC, Rotterdam. Listen to this episode.



