Artificial Intelligence Technologies for Coping with Alarm Fatigue in Hospital Environments Because of Sensory Overload: Algorithm Development and Validation

BACKGROUND: Informed estimates claim that 80% to 99% of alarms set off in hospital units are false or clinically insignificant, representing a cacophony of sounds that do not present a real danger to patients. These false alarms can lead to an alert overload that causes a health care provider to mis...

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Detalles Bibliográficos
Autores principales: Fernandes, Chrystinne Oliveira, Miles, Simon, Lucena, Carlos José Pereira De, Cowan, Donald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904899/
https://www.ncbi.nlm.nih.gov/pubmed/31769762
http://dx.doi.org/10.2196/15406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904899/
https://www.ncbi.nlm.nih.gov/pubmed/31769762
http://dx.doi.org/10.2196/15406

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