Ebensperger Max, Roche Tadzio R, Rahrisch Arend, Webster Craig S, Tscholl David W
Department of Anesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Institute of Anesthesiology, University and University Hospital Zurich, Zurich, Switzerland.
Br J Anaesth. 2025 Jun;134(6):1616-1619. doi: 10.1016/j.bja.2025.03.012. Epub 2025 Apr 17.
Patient monitoring systems have relied on beeping alarm sounds for the past 70 years, yet evidence suggests that these conventional tones limit alarm effectiveness, informativeness, and user situation awareness. More advanced alarm modalities, such as auditory icons and voice alerts, offer more intuitive approaches, and were found to improve alarm detection and reduce caregiver workload. Made possible by adoptions of international standards, and supported by evidence, the future of patient monitoring alarm sounds might incorporate conventional alarm tones with auditory icons, voice alerts, and advanced visualisations to better support caregivers and reduce alarm fatigue in patients and caregivers. Sound examples for advanced alarm modalities, comparisons with conventional alarm sounds, and alarm sound examples from aviation are provided in an online supplementary video.
在过去的70年里，患者监测系统一直依赖于哔哔作响的警报声，但有证据表明，这些传统音调限制了警报的有效性、信息性和用户态势感知能力。更先进的警报模式，如听觉图标和语音警报，提供了更直观的方法，并且被发现可以提高警报检测率并减轻护理人员的工作量。由于采用了国际标准并得到了证据的支持，患者监测警报声的未来可能会将传统警报音与听觉图标、语音警报和先进的可视化相结合，以更好地支持护理人员并减少患者和护理人员的警报疲劳。在线补充视频中提供了先进警报模式的声音示例、与传统警报声的比较以及来自航空领域的警报声示例。
