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

• Päätekijät: Fernandes, Chrystinne Oliveira (Tekijä), Miles, Simon (Tekijä), Lucena, Carlos José Pereira De (Tekijä), Cowan, Donald (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2019-11-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

BackgroundInformed 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 miss...