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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

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