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

Tuesday, March 21, 2023

Friday, March 3rd, was a special day: our department celebrated the inauguration of the Head of the Department of Medical Informatics, Professor Peter Rijnbeek!

In his inaugural lecture titled "Scalable Evidence", he advocated "for improving interoperability, standardardised analytics, and creating a research memory. It requires a big collaborative effort to change the paradigm for the use of Real World Data at scale. We are moving in the right direction, but there is still a lot of work to do to unlock the value of data to improve patient care."

Congratulations Prof. dr. ir. Peter R. Rijnbeek on your inaugural lecture!

For the recording: see here


 (Picture: Sarah Seager) 

Monday, March 20, 2023

The fourth European OHDSI Symposium will be held in Rotterdam (NL) on July 3rd, 2023, again at an inspiring location, the Steam Ship Rotterdam. This year's symposium is entitled “Full Steam Ahead”.

The main symposium will take place on Monday, July 3rd, 2023 on the ship SS Rotterdam. Saturday, July 1st, and Sunday, July 2nd will be dedicated to workshops and workgroup meetings, to be held in the Education Centre of the Erasmus University Medical Center, Rotterdam, The Netherlands. 

For more information, registration, and call for participation: click here.

Hope to see you all there!

Image SS Rotterdam OHDSI Europe 2023