Health Data Science at BRMS (HeDS)

We are a team of researchers at the University of Bristol with a well-established reputation in the health data science and emerging data sources and methods. The Health Data Science (HeDS) team works closely with local and national policymakers and carries 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 15 researchers including 3 PhD students.

• Novel Digital Data collection and analysis for Health
  Exploring the use of smart data and digital footprints data. E.g. Loyalty card data, wearable technologies and banking data.
• High Dimensional Data Analysis for Health
  MR-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 Data
  Exploring 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)).