Responsible AI Readiness for Clinical Decision Support
This project will examine how healthcare organisations can assess their readiness to introduce responsible AI-supported clinical decision tools. It will consider governance, data quality, clinical safety, transparency, staff confidence and implementation needs.
Building a Learning Health System Framework
This project will investigate how healthcare organisations can learn continuously from clinical data, research evidence, service experience and patient outcomes. It will develop a practical framework for translating this learning into service improvement.
Predictive Analytics for Earlier Identification of Healthcare Risk
This project will explore how routinely collected healthcare data can be used to identify patient or service-level risks earlier. The work will focus on responsible predictive modelling, interpretability and the practical needs of healthcare decision-makers.