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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

Crossref DOI link: https://doi.org/10.1186/s13049-022-01020-6

Published Online: 2022-05-12

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Scholz, Mirjam Lisa http://orcid.org/0000-0002-8138-0740
Collatz-Christensen, Helle

Blomberg, Stig Nikolaj Fasmer

Boebel, Simone

Verhoeven, Jeske

Krafft, Thomas
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Text and Data Mining valid from 2022-05-12

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Article History

Received: 21 February 2022

Accepted: 24 April 2022

First Online: 12 May 2022

Declarations

:

: This research was approved by the ethics committee of Maastricht University. In compliance with the general data protection regulation, this study was registered at the Danish Data Protection Agency (PVH-2014-002). Additionally, the study was registered at the Danish Patient Safety Authority (R-21013122). Since no patients were involved in the study, no consent of individual patients was required. Only anonymized data was used for the analysis.

: Not applicable.

: The authors declare that they have no competing interests.

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