Primary Care Data Discovery

The group undertakes discovery and applied research using multimodal health data, integrating routinely collected clinical records with data from devices, including continuous wearable monitoring. 

We aim to identify digital signatures (patterns in health data) and risk markers that improve understanding of disease trajectories and support proactive care. 

Our research is rooted in primary care and focuses on real-world clinical pathways, particularly hospital-to-home transitions between emergency care, hospital services and follow-up in the community. 

We collaborate with a wide range of stakeholders, including people with lived experience, to ensure studies address real needs and produce interpretable, clinically meaningful outputs. 

Current work includes discovering wearable-derived digital signatures after acute asthma to support more personalised follow-up and proactive monitoring, with the long-term goal of reducing avoidable admissions and improving asthma care in the community.