AI decision support for emergency call handlers (e.g. stroke detection during 911/112-equivalent calls).
Regulatory status
Not directly applicable — a call-handler decision-support tool, not a diagnostic device.
Clinical evidence
Vendor-supported
Not the primary source used here.
Independent
Confirmed operational deployment in the Danish capital region’s emergency call centers, backed by an academic study (PMC) on stroke detection performance, plus a European partnership (EENA).
Real-world deployment
Operational deployment confirmed in Danish capital-region emergency call centers, with a published academic evaluation of stroke-detection performance.
Interoperability
European status
Editorial verdict
Limits and uncertainties
Read the full PMC study before publishing to extract precise sensitivity/specificity figures for stroke detection.
Sources
https://pmc.ncbi.nlm.nih.gov/articles/PMC9097123/
This profile is not medical advice or an endorsement. Hospitals should perform their own due diligence (regulatory compliance, GDPR, cybersecurity, integration, local clinical validation). How we evaluate
Every profile documents the precise indication, regulatory status, vendor-supported and independent evidence, real-world deployment, limits and dated sources.
A independent systematic review or prospective multicentre study · B at least one independent peer-reviewed study · C peer-reviewed, vendor-supported · D vendor claims only.