CHILLI research area
AI-powered Healthcare Solutions
Developing and evaluating artificial intelligence solutions that support smarter, safer, and more effective healthcare.
About this research area
CHILLI explores how artificial intelligence can support healthcare organisations, clinicians, researchers, and decision-makers. This research area focuses on practical, ethical, and evidence-informed AI solutions that can improve care delivery, support clinical insight, and strengthen healthcare innovation.
Key questions
How can AI improve healthcare decision-making?
How can AI tools support clinicians without replacing clinical judgement?
How can healthcare organisations adopt AI safely and responsibly?
How can AI improve patient outcomes and service efficiency?
Current interests
Clinical AI tools, healthcare automation, decision support, risk prediction, AI governance, ethical implementation, real-world evaluation.
Methods and technologies
Machine learning, natural language processing, predictive modelling, clinical decision support systems, healthcare data analytics, real-world data analysis.
Connected work
Related projects
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…
View project →
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…
View project →Research leadership
Lead members
Koblo Usani
AI and Machine Learning Developer
Consortium for Healthcare Intelligence, Learning and Innovation.
View profile →