ASSIST
Research type
Research Study
Full title
ASSIST: ASsuring Safe artificial Intelligence in ambulance Service 999 Triaging
IRAS ID
294134
Contact name
Nigel Rees
Contact email
Sponsor organisation
Welsh Ambulance Services NHS Trust (WAST)
Duration of Study in the UK
0 years, 11 months, 10 days
Research summary
Many people who have a cardiac arrest outside of the hospital die. These deaths could be reduced if cardiopulmonary resuscitation (abbreviated as CPR) is given within 3 – 5 minutes of cardiac arrest. It is important that ambulance service call centre staff recognise out of hospital cardiac arrest in order to dispatch an ambulance quickly and CPR instructions over the telephone to bystanders. However, from the literature we know that at least 25% of out of hospital cardiac arrests are not recognised. The use of an artificial intelligence (AI) tool could improve recognition of out of hospital cardiac arrest, and help reduce avoidable deaths.
However, there are many open questions before such technology can be used in ambulance services. For example, how will call centre staff work with the AI? What kind of training do staff require? How would this AI tool work with other ambulance service IT systems? How will the organisation decide whether it is safe to use the AI tool?
In this project we aim to provide answers to these questions. We will talk with ambulance service staff at different levels of the organisation including call centre operators, paramedics, IT staff, quality improvement staff, risk managers and educators to find out how they think and feel about using such AI systems safely.
We will present the findings of the study to these staff groups, and we will provide the lessons learned to the wider ambulance service community and regulatory bodies.REC name
N/A
REC reference
N/A