Mission
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.
Research
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.
Teaching
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.
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!
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!
Monday, October 12, 2020
Check out some of our recent work:
- How little data do we need for patient-level prediction?
- The role of explainability in creating trustworthy artificial intelligence for health care