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, October 20, 2020

We are happy to announce that we received the 2020 OHDSI Titan Award for Community Support. The Titan Award is a special recognition from the OHDSI community for important contributions towards OHDSI's mission. A big thanks from everyone in our team, we are looking forward to another year of exciting research and collaborations!

MI team titanaward

A special shout out to two students in our group who received Titan Awards for their amazing work: Anthony Sena (for Open-Source Development) and Clair Blacketer (for Data Standards). 

Congratulations to all!