警报
个性化
重症监护
医学
医疗急救
假警报
患者安全
重症监护医学
计算机科学
医疗保健
人工智能
工程类
万维网
经济
航空航天工程
经济增长
作者
Jiayan Huo,Shu‐Fen Wung,Janet Roveda,Ao Li
出处
期刊:Exploratory research and hypothesis in medicine
[Xia & He Publishing]
日期:2022-06-02
卷期号:000 (000): 000-000
被引量:6
标识
DOI:10.14218/erhm.2022.00026
摘要
Background and objectivesExcessive false alarms in intensive care units (ICU) cause noise disturbance to patients and develop alarm fatigue among nurses, leading to safety concerns and decreased patient care quality. Evidence-based false alarm reduction strategies are urgently needed in the day-to-day clinical practice. This review aims to synthesize two main human-technology approaches to reduce false alarms generated by the physiologic monitor: customization of alarm settings by nurses and alarm algorithms.
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