This project aims to compare data from the AccessCMD study population with a real-world population dataset to determine whether it represents the wider population. If found to be representative, the dataset can then be used to investigate important healthcare questions in cardiometabolic co-morbidity.

This project aims to test out whether a tool, that has been developed to predict the likelihood of bedsores, can correctly identify patients at risk using routine data collected from clinical healthcare settings.

This project aims to construct a comprehensive research dataset on autoimmune diseases, using data from routine clinical care in secondary healthcare settings.

The aim of this project is to construct a dataset of real-world oncology data that will be used to fill key evidence gaps regarding treatments and outcomes for patients living with a range of cancers in the UK