Health Data Science at BRMS (HeDS)
We are a team of researchers at the University of Bristol with a well-established reputation in health data science and emerging data sources and methods (including ai). The Health Data Science (HeDS) team work closely with local and national policymakers and carry out methodological, policy and applied research. Our research falls into 4 themes: High Dimensional Data Analytics, Novel Digital Data for Health, Data Visualisation (approaches for keeping humans in the loop with complex analyses) and Trusted Research Environments for Linked Data. The HeDS team has grown rapidly in the last 5 years and we have more than 12 researchers including 1 PhD student.
Research Areas
- Novel Digital Data collection and analysis for HealthExploring the use of smart data and digital footprints data. E.g. Loyalty card data, wearable technologies and banking data.
- High Dimensional Data Analysis for HealthMR-pheWAS – enabling researchers to easily conduct phenome scans + derive clean datasets for large-scale analyses Time-series data analysis of digital health data – deriving novel phenotypes for epidemiologists to use in their analyses
- Data Visualisation (keeping humans in the loop)Exploring new ways of displaying novel data results, and interacting with the public through outreach and public engagement.
- Trusted Research Environments for Linked DataExploring optimal ways of working with extremely large linked datasets, such as electronic health records, available within secure, privacy-protecting Trusted Research Environments (TREs; also known as Secure Data Environments (SDEs)).
If you wish to find out more, email grp-heds-brms@bristol.ac.uk to be added to our mailing list.