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 More


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.

Read More


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.

Read More

Latest News

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

Monday, March 14, 2022

Our study "Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review" has now been published in the Journal of the American Medical Informatics Association.

Led by first author Cynthia Yang, the team consisting of members from our department identified 422 studies that developed a total of 579 clinical prediction models using electronic health record (EHR) data published in the period 2009–2019. 

There is still a lot of progress needed in this field, let’s join forces!