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Grant: Planning and Dissemination Grant - Institute Community Support

Ottawa Hospital Research Institute

$19,200.00

Innovative Use of Machine-Learning Algorithm Assistance to Rapidly Recognize the Presence of Sudden Cardiac Arrest and Initiate Life-Saving CPR Instructions During Conversations Between 9-1-1 Callers and Telecommunicators.

EF 2023-24

Résumé
Each year, there are 20,000 treatable out-of-hospital sudden cardiac arrests (SCA) in Canada. Bystander cardiopulmonary resuscitation (CPR) can nearly quadruple SCA survival but needs to be started within minutes. In most communities, less than 40% of victims receive CPR before the ambulance arrives. Currently, less than 15% of SCA victims will leave the hospital alive. 9-1-1 telecommunicator-assisted CPR instructions to 9-1-1 callers (previously trained in CPR or not) can greatly improve bystander CPR and survival rates for out-of-hospital SCA. Unfortunately, about 25% of SCA victims gasp for air in the first few minutes. This can fool the 9-1-1 callers and telecommunicators into thinking the victim is still alive, and results in delayed or no CPR instructions to callers. We received pilot funding to demonstrate proof-of-concept for a novel application of the existing IBM-Watson's machine learning artificial intelligence. When developed and refined, IBM-Watson will listen to 9-1-1 conversations and help improve the ability and speed with which 9-1-1 telecommunicators can recognize SCA, initiate timely CPR instructions, and improve survival for out-of-hospital SCA victims. When implemented across Canada, this could save 1,000 lives each year. This promising technology, if working for SCA, could possibly have broader 9-1-1 applications. This proposal is to help identify and engage with a diversified/representative cohort of relevant stakeholders, disseminate findings from foundational projects leading to the proof-of-concept, and seek input from cardiac arrest survivors, 9-1-1 telecommunicators, policy-makers, privacy-ethics-contract officers, and members of the industry. As we develop the proposed artificial intelligence solution, we need to explore all facilitators and potential barriers to its successful implementation, and develop a business plan in partnership with the industry. Ultimately, this will lay the foundations for a strong CIHR operating grant.
Programme
Planning and Dissemination Grant - Institute Community Support
Emplacement
Ontario, Canada
Type de bénéficiaire
Other
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
487794
Name
Vaillancourt Christian
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Planning and Dissemination Grants
Projecttitle
Innovative Use of Machine-Learning Algorithm Assistance to Rapidly Recognize the Presence of Sudden Cardiac Arrest and Initiate Life-Saving CPR Instructions During Conversations Between 9-1-1 Callers and Telecommunicators.
Programtype2
Miscellaneous Programs
Orgnameinp2
Ottawa Hospital Research Institute
Cihramount2
$19,200
Cihrequipment2
$0
Programname2
Planning and Dissemination Grant - Institute Community Support
Keyworddelim
9-1-1 Telecommunicators; Agonal Breathing; Artificial Intelligence; Commercial Planning And Viability; Community Integration In Primary Cardiac Arrest Care; Equitable Access To Health Care Systems; Innovative Digital Solution; Knowledge Exchange; Stakeholder Consultation; Sudden Cardiac Arrest
Abstract
Each year, there are 20,000 treatable out-of-hospital sudden cardiac arrests (SCA) in Canada. Bystander cardiopulmonary resuscitation (CPR) can nearly quadruple SCA survival but needs to be started within minutes. In most communities, less than 40% of victims receive CPR before the ambulance arrives. Currently, less than 15% of SCA victims will leave the hospital alive. 9-1-1 telecommunicator-assisted CPR instructions to 9-1-1 callers (previously trained in CPR or not) can greatly improve bystander CPR and survival rates for out-of-hospital SCA. Unfortunately, about 25% of SCA victims gasp for air in the first few minutes. This can fool the 9-1-1 callers and telecommunicators into thinking the victim is still alive, and results in delayed or no CPR instructions to callers. We received pilot funding to demonstrate proof-of-concept for a novel application of the existing IBM-Watson's machine learning artificial intelligence. When developed and refined, IBM-Watson will listen to 9-1-1 conversations and help improve the ability and speed with which 9-1-1 telecommunicators can recognize SCA, initiate timely CPR instructions, and improve survival for out-of-hospital SCA victims. When implemented across Canada, this could save 1,000 lives each year. This promising technology, if working for SCA, could possibly have broader 9-1-1 applications. This proposal is to help identify and engage with a diversified/representative cohort of relevant stakeholders, disseminate findings from foundational projects leading to the proof-of-concept, and seek input from cardiac arrest survivors, 9-1-1 telecommunicators, policy-makers, privacy-ethics-contract officers, and members of the industry. As we develop the proposed artificial intelligence solution, we need to explore all facilitators and potential barriers to its successful implementation, and develop a business plan in partnership with the industry. Ultimately, this will lay the foundations for a strong CIHR operating grant.
Competitiondate
202307
Approvedterm2
1 yr 0 mth
Pinamesdelim
Vaillancourt, Christian
Approvedterm
1 an 0 mois
Cihrcontribution2
SPOR~ $19,200~ $0~