Speech recognition shortens the recording time of prehospital medical documentation - 29/10/21
Doi : 10.1016/j.ajem.2021.02.025
Takashi Shimazui, M.D., Ph.D. a 
, Taka-aki Nakada, M.D., Ph.D. a, ⁎ , Shingo Kuroiwa, Dr.Eng. b , Yuki Toyama, B.Eng. b , Shigeto Oda, M.D., Ph.D. a
, Taka-aki Nakada, M.D., Ph.D. a, ⁎ , Shingo Kuroiwa, Dr.Eng. b , Yuki Toyama, B.Eng. b , Shigeto Oda, M.D., Ph.D. a Chiba University Graduate School of Medicine, Department of Emergency and Critical Care Medicine, Chiba, Japan
Chiba University Graduate School of Science and Engineering, Division of Mathematics and Informatics, Chiba, Japan
⁎Corresponding author at: Chiba University Graduate School of Medicine, Department of Emergency and Critical Care Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.Chiba University Graduate School of MedicineDepartment of Emergency and Critical Care Medicine1-8-1 InohanaChuo-kuChiba260-8677Japan
Keywords : Documentation, Emergency medical services, Information technology, Prehospital emergency care, Speech recognition software, Time management
Abbreviations : ICT, SR, WRR
Le texte complet de cet article est disponible en PDF.
Plan
© 2021
Elsevier Inc. Tous droits réservés.
Vol 49
P. 414-416 - novembre 2021 Retour au numéro
Article précédent
- COVID-19 croup: Solitary infections and a coinfection case – author reply to a letter
- Paul C. Mullan, April M.R. Venn, James M. Schmidt
- Decreased time to intubation by experienced users with a new lens-clearing video laryngoscope in a simulated setting
- Andrew Napier, Tony Zitek
Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.
Déjà abonné à cette revue ?