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
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 intensive, hands-on course is designed for OMOP CDM implementers who want to take the next step: improving data quality, designing robust cohorts, and generating reliable real-world evidence within their organisation and across data networks. The programme will cover key OMOP tools and workflows, including the Data Quality Dashboard , ATLAS ,...
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Are you looking for an impactful project for your Master's thesis? We currently have open positions for Master Students to undertake a graduation project within our...
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At the beginning of October, several members of our group attended the OHDSI Global Symposium in New Brunswick, where they presented their work, led workshops, and...
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