Human-Centred AI Design to Develop Digital Health Artificial Intelligence for Multiple Long-Term Conditions (Multimorbidity)
This project aims to improve healthcare for people with Multiple Long-Term Conditions (MLTCs) by harnessing the power of Artificial Intelligence (AI) and digital health tools.
MLTCs are ongoing conditions, like diabetes and heart disease, that occur together in a single patient. They affect millions of adults in the UK and are a major challenge for healthcare. Our research focuses on developing AI-enhanced technologies that can assist patients and healthcare professionals in managing MLTCs effectively. We aim to empower patients and healthcare professionals through Human-Centred AI Design, an approach that helps digital health designers and developers to co-create tools, policies, and guidance with patients and healthcare providers to ensure that AI in healthcare is safe, understandable, and useful.
Our work will have a positive impact on healthcare delivery, helping patients with MLTCs and contributing to better care and disease outcomes.
Project lead / contact: Hassan Sami Adnan — Nuffield Department of Primary Care Health Sciences, University of Oxford
ARC theme: Novel Methods to Aid and Evaluate Implementation
Who we're working with
- Nuffield Department of Population Health - Homepage — Nuffield Department of Population Health (ox.ac.uk)