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

Thursday, September 08, 2022

It has been a busy few weeks, with several department members attending and presenting their work at conferences around the globe.

Aniek Markus presented her work on the model stability of machine learning and why predicting risk cannot identify risk factors at the Machine Learning for Healthcare conference in Durham, USA. 

Machine Learning for Healthcare (mlforhc.org)

Several members also attended IPCE in Copenhagen, Denmark.

Victor Pera presented his research on medication errors within the spontaneous reporting system FAERS and Alexandros Rekkas presented his work on his implementation of the assessment of heterogeneity of treatment effect using the OMOP-CDM. An update of the COVID-19 pharmacoepidemiological battlefield was also given by Daniel Prieto-Alhambra.

ICPE Annual Conference-pharmacoepi.org - International Society for Pharmacoepidemiology

Alex further attended the International Society for Clinical Biostatistics (ISCB) conference in Newcastle, UK, where he presented his work on a simulation study comparing risk-based approaches for the estimation of individualized treatment effects from randomized controlled trials.

Home - ISCB43 - Newcastle, UK - 2022 (iscb2022.info)

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!

All information and content from the Symposium can be found on the OHDSI Europe Website.