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
The Erasmus MC Health Data Science team will be well represented at the OHDSI Global Symposium 2026 in New Brunswick, New Jersey , with colleagues contributing to the programme through poster presentations, an oral presentation, a software demonstration, the Introduction to OHDSI tutorial, Working Group meetings, and nominations for the OHDSI Titan Awards. As home to the OHDSI Europe Coordinating Center, Erasmus MC plays an active role in connecting and supporting the European OHDSI community. The global...
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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...
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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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