Detecting out of hospital cardiac arrest using artificial intelligence
Details of the organization
Name *
European Emergency Number Association (EENA) & Corti
Country *
Belgium
Website (URL)
http://eena.org/
Type *
Civil society entities
Information about the project
Project title *
Detecting out of hospital cardiac arrest using artificial intelligence
Description *
This initiative between EENA and Corti will pilot AI support in 4 pilot sites to improve emergency medical service operations. There is strong need worldwide for real-time, innovative decision support and delivery methods to improve the quality and relevance of live detections made during emergency calls. The project will pilot AI technology which analyses live conversations and converts petabytes of dark data into live predictions. The technology promises to deliver up to 95% accuracy at detecting out of hospital cardiac arrests, reduce error rates of human call-takers and dispatchers, and make critical diagnoses faster to save lives.
Project website
http://eena.org/press-releases/detecting-out-of-hospital-cardiac-arrest-using-artificial-intelligence#.Wwf7bCBpFPY
Geographical coverage *
International implementation
Countries of implementation
France, Germany, Italy, United Kingdom
Status *
Ongoing
from 25/04/2018
to
12/04/2019
Partners
Partners: EENA (European Emergency Number Association) & Corti
WSIS information
WSIS action lines related to this project
*
Information and communication infrastructure
*
ICT applications: benefits in all aspects of life
*
E-government
*
E-government strategies
*
E-government systems
*
E-health
Sustainable Development Goals (SDGs) related to this project
Goal 3: Ensure healthy lives and promote well-being for all
Goal 9: Build resilient infrastructure, promote sustainable industrialization and foster innovation
Goal 11: Make cities inclusive, safe, resilient and sustainable
Project type *
Project