Population Health and Clinical Cohorts
The Population Health and Clinical Cohorts cluster is about promoting health and wellbeing and tackling health inequalities within communities from the individual to societal level.
About the cluster
Research within this cluster builds on Coventry University's long-standing relationship with local authorities and wider organisations (including Integrated Care Boards and the Voluntary Sector) to lead research promoting public health and wellbeing, address health inequalities and use behavioural sciences.
Within the cluster there is also focus on the interface between AI and Population health. It is only by crossing fields that we are able to develop a cohesive picture of key population health issues, what we can do to detect and manage them, and how we can apply AI based technology to enhance clinical outcomes and improve quality life.
Core themes:
- Development of novel AI empowered image-based risk prediction tools to improve diagnostic speed and accuracy, enabling earlier treatment and prevention of disease (e.g., diabetes related complications).
- Epidemiological modelling of electronic health records to enhance AI based risk prediction understanding, including big data approaches.
- Developing novel AI algorithms for analysing complex healthcare data to improve the accuracy, efficiency, and accessibility of healthcare delivery.
- Developing self-supervised learning and generative adversarial network models to tackle the challenges of insufficient labels and missing data in various healthcare data.
We have a great opportunity to meet the needs of a diverse population and we aim to place people at the centre of our approaches and interventions when we promote better health. We encompass a broad range of disciplines and methodological expertise ranging from qualitative exploration to definitive randomised controlled trials and meta-synthesis.
We particularly seek to:
- Capitalise on asset-based approaches
- Take into account the wider determinants of health
- Co-develop preventative interventions
- Use behavioural science knowledge and understanding across all of our work
Project list
Cluster staff
Robyn Tapp is a Professor at Coventry University who, throughout her career, has translated population-based data into significant relevance to the individual who will benefit from primary and secondary prevention of diabetes and its severe complications.
