About the project
As a researcher on this project you will work at the interface of computational modelling and medical care to provide data driven risk prediction for patients undergoing surgery.
The project involves aggregating diverse sources of real-world patient data, including both existing electronic systems and novel sources, such as wearable technology. You will use this data to develop and implement risk models to predict patient outcomes around the time of surgery. These models will be applied to inform shared decision making with patients about the care they receive and how it is delivered.
This work will improve:
- our understanding of risk
- the experience and care of patients
- the NHS's ability to make optimal use of resources
This project is part of a digital ecosystem centred around translating cutting-edge tools and technologies to improve patient outcomes. You will work in the Southampton Biomedical Research Centre and have access to the Universitiy's nationally leading compute cluster, Iridis. The University Hospital Southampton is recognised as a global digital exemplar.
Lead supervisor
Professor Denny Levett, University Hospital Southampton
Supervisor
Professor Age Chapman, University of Southampton
