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In Progress

This is an innovation project supported by the Better Care Victoria Innovation Fund.

Lead organisation

Ambulance Victoria

Partners

  • Emergency Services Telecommunications Authority
  • Monash University Faculty of Information Technology

Summary

Cardiac arrest that occurs outside of hospital is a time-critical condition that affects all ages, with few survivors. Every minute that intervention is delayed is associated with a 10 per cent decrease in the odds of survival. 

The chances of successful resuscitation and good recovery from any brain damage experienced increase when cardiopulmonary resuscitation and defibrillation are provided quickly.

For people experiencing a cardiac arrest outside of hospital, the Triple Zero (000) emergency call-taker’s ability to quickly detect the signs and act accordingly can be key to determining the patient’s outcome. 

Ambulance Victoria is using artificial intelligence (AI) to analyse incoming emergency calls and assist call-takers with cardiac arrest identification so Victorians can receive the appropriate care faster.

Aims

  • Improve the accurate identification of cardiac arrest patients during emergency calls
  • Increase the speed at which cardiac arrest cases are identified
  • Increase the percentage of patients receiving bystander CPR, and the speed at which it is delivered
  • Dispatch ambulances for non-identified cardiac arrest patients faster
  • Develop an AI framework that can be easily and rapidly scaled to assist other patients, such as those experiencing a stroke, heart attack, or domestic violence

Update

August 2021 - Early results show Triple Zero (000) callers having a cardiac arrest are more likely to be quickly identified through an artificial intelligence model being developed and tested by Ambulance Victoria. The final outcomes are expected to be available in March 2022.

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