Health Data Science Group
The mission of the Health Data Science group is to produce clinically actionable insights from observational health data by enabling data-driven healthcare. Improved interoperability of data is a necessary pre-requisite for this mission.
Health Data Science
The Health Data Science group develops analytical methods and tools for observational health data, with interoperability as a core requirement.
The mission of the Health Data Science group is to produce clinically actionable insights from observational health data by enabling data-driven healthcare. Improved interoperability of data is a necessary pre-requisite for this mission.
Read MoreWe perform methodological research in clinical characterisation, population-level effect estimation, and prediction modelling. We develop open-source analytical tools that can be applied on the OMOP Common Data Model.
Read MoreWe believe more education for young health data scientists, medical students, and healthcare professional, is needed to train them in the opportunities and limitations of big data in healthcare.
Read MoreLatest News
Attending the ICPE 2026 Annual Meeting was a great opportunity to take part in meaningful discussions on the role of pharmacoepidemiology in advancing patient health and improving healthcare. In Milan, our department’s work was presented in 13 different posters and 3 oral presentations, which showcased the extraordinary work of the Darwin Coordination Centre team, an excellent example of how, despite the increased amount and complexity of health data sources, we can rapidly generate robust evidence while ensuring...
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We are pleased to announce The OMOP Practitioner — Expert Training , a new three-day expert training programme taking place in Rotterdam from 7–9 September 2026 . This...
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The 7th OHDSI Europe Symposium: Continuous Collaboration for Living Evidence Generation took place on 20 April 2026 in Rotterdam, following two days of tutorials,...
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