Artificial intelligence in Emergency Medical Services dispatching: assessing the potential impact of an automatic speech recognition software on stroke detection taking the Capital Region of Denmark as case in point

BACKGROUND AND PURPOSE: Stroke recognition at the Emergency Medical Services (EMS) impacts the stroke treatment and thus the related health outcome. At the EMS Copenhagen 66.2% of strokes are detected by the Emergency Medical Dispatcher (EMD) and in Denmark approximately 50% of stroke patients arriv...

Descripción completa

Detalles Bibliográficos
Autores principales: Scholz, Mirjam Lisa, Collatz-Christensen, Helle, Blomberg, Stig Nikolaj Fasmer, Boebel, Simone, Verhoeven, Jeske, Krafft, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097123/
https://www.ncbi.nlm.nih.gov/pubmed/35549978
http://dx.doi.org/10.1186/s13049-022-01020-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097123/
https://www.ncbi.nlm.nih.gov/pubmed/35549978
http://dx.doi.org/10.1186/s13049-022-01020-6

Ejemplares similares