Improving the chances of surviving an out-of-hospital cardiac arrest by using AI to support ambulance service call centre staff.

https://youtu.be/v_uxFzEqQVg

The challenge

People who suffer out-of-hospital cardiac arrest have very high mortality. The number of deaths could be reduced if cardiopulmonary resuscitation could be given within three to five minutes of the onset of the cardiac arrest. Every minute of delay reduces the chances of survival by 10%. It is crucial, therefore, that ambulance service call centre staff recognise out-of-hospital cardiac arrest so that they can dispatch an ambulance quickly and provide instructions over the telephone to bystanders. However, the evidence suggests that at least 25% of out-of-hospital cardiac arrests are not recognised. The introduction of an artificial intelligence (AI) solution could improve recognition and reduce premature mortality. 

The research

The project team will adapt an existing Corti AI platform, which has been piloted in Copenhagen, for use within the Welsh Ambulance Service (WAST). The assurance activities will contribute to the development of a real-world Body of Knowledge for assurance cases of AI in critical sectors.

The progress

The team has completed their work on understanding and specifying the operating environment for the Corti AI system and determining safety assurance requirements at the clinical system level. For this, they interviewed healthcare staff and analysed the data from these interviews to help define the operational design domain and clinical system-level safety assurance requirements.

The development of a self-contained safety case argument for the use of the Corti AI system within the WAST NHS Trust context has started. The team has developed an understanding of the data acquisition and management element of this work and will then move on to technology development and adaptation and testing and performance evaluation.

The final area of work for the project is about embedding the system in the real world. This entails engaging stakeholders from regulatory and standardisation bodies and from ambulance services nationally. This is progressing well and the team’s work has been presented at the HSJ Patient Safety Congress and the WAST Digital Leadership Group. Additional opportunities to disseminate the work are planned for early 2022. 

Papers and presentations

Project partners

Contact us

Assuring Autonomy International Programme

assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Institute for Safe Autonomy, University of York, Deramore Lane, York YO10 5GH

Contact us

Assuring Autonomy International Programme

assuring-autonomy@york.ac.uk
+44 (0)1904 325345
Institute for Safe Autonomy, University of York, Deramore Lane, York YO10 5GH