Modelling Increased Recognition in Unwitnessed Cardiac Arrest Using Wearable Sensors

In more than 75% of all Sudden Cardiac Arrests, no one is there to witness the event and call 9-1-1, and resultant survival is near 0%. Sudden Cardiac Arrest death is a significant and unrecognized epidemic in Canada, affecting over 20,000 people annually. We hypothesize that modelling the implementation of wearable sensors in the population will provide evidence that key clinical and system metrics in the out-of-hospital cardiac arrest resuscitation system in British Columbia can be improved, and that such improvements will be worthwhile. We anticipate our models will forecast a significant increase in rates of survival to hospital discharge and survival with favourable neurological outcomes and will provide a framework for technology innovators and clinicians to develop clinical trials evaluating wearable sensors for impact on cardiac arrest outcomes. This project is strategically aligned with the goals of our partner organization, CHÉOS, which contributes to training the next generation of researchers and working cooperatively with other health research organizations, including those at the University of British Columbia and beyond, to develop and carry out research strategies that impact the health and wellbeing of Canadians.

Faculty Supervisor:

Brian Grunau;Joseph Puyat

Student:

Partner:

Providence Health Care

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

The University of British Columbia

Program: