The DAISY project: Diagnostic AI System for Robot-Assisted A&E Triage
To tackle increasing pressures on NHS A&E admission times, we worked with doctors and patients from York and Scarborough Teaching Hospitals NHS Foundation Hospital to develop a prototype robot-assisted A&E triage system called DAISY.
The system represents an important first step towards the development of a solution for automating key stages of the A&E patient triage process in order to lower A&E waiting time and doctor workload.
Evidence shows that patients survive more and live a better life when their ailment is identified and treated at the earliest stage. DAISY creates the opportunity for this to happen in a consistent manner so the remarkable benefits of this technological innovation can be directly realised by our patients. Collaborating with the safety experts at the University of York enables us to develop new technologies to support our clinical teams and patients.
Dr Ol’Tunde Ashaolu, York and Scarborough Teaching Hospitals NHS Foundation, and DAISY project co-lead
Robotics and AI are already part of many healthcare systems around the world, but mostly in areas related to deliveries and maintenance. Looking to the future, we need a better understanding of how they might support medics in their work, including through interacting with patients. This requires the consideration of a range of factors from multiple perspectives – not just the technical capabilities of these technologies, but also how they are perceived by the end-user.
Professor Radu Calinescu, Principal Investigator on the DAISY project
Robotics and AI will be a significant part of the future of healthcare, but our work at the moment is focused on the big question of making them safe, effective, and acceptable for the end-user and medics.
Dr Chiara Picardi, Co-Investigator on the DAISY project
