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

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...

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Main Authors: Fernandes, Chrystinne Oliveira (Author), Miles, Simon (Author), Lucena, Carlos José Pereira De (Author), Cowan, Donald (Author)
Format: Book
Published: JMIR Publications, 2019-11-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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