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.

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We 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.

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We 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.

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Latest News

Friday, July 01, 2022

Looking back on an amazing 3 days! Last week, our HDS team hosted the third OHDSI Europe Symposium at the SS Rotterdam; the event was fully booked, with 350 participants, 24 plenary presentations, and 80 posters. Great to see many members of our team (more than 15) contributing to the collaborator showcase and several members (Alex, Aniek & Cynthia) presenting their work during the rapid fire session.

Thanks all participants for the inspiring talks, discussions and chats!


Friday, April 22, 2022

Last week, some sportive members from our department took part in the City Run 4.2 km, an annual running event in the city centre of Rotterdam. It was a perfect day for a nice run, with great weather and a cheerful crowd!

HDS CityRun