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, November 26, 2021

The third European OHDSI Symposium will be held in Rotterdam (NL) June 24-26 2022 (new date!!), this time at a very exciting location, the Steam Ship Rotterdam. This year's symposium is entitled “We'll meet again for one journey ahead!” because we think it is very important to enjoy each others company again in real life as we did in 2018, 2019. For more information, registration and call for participation: click here.

Hope to see you all there!

LinkedIn OHDSI v2 smaller

Thursday, September 09, 2021

We are showcasing our work next week at the virtual OHDSI symposium, we are well-represented at plenary sessions and over 15 lightning talks and posters. This includes work on trends in patient-level prediction, data quality, frequent pattern mining, treatment effect heterogeneity, attention-based neural networks, explainable models, and several new-open source tools.

For an overview of our work:

posters symposium2021

 For the full program and registration: click here.