警报
事件(粒子物理)
患者安全
听力学
假警报
听觉事件
任务(项目管理)
计算机科学
事件相关电位
语音识别
医疗急救
心理学
医学
认知
人工智能
工程类
医疗保健
神经科学
经济
系统工程
航空航天工程
物理
量子力学
经济增长
作者
Marie-Lys Deschamps,Penelope Sanderson,Harald Waxenegger,Ismail Mohamed,Robert G. Loeb
出处
期刊:Human Factors
[SAGE]
日期:2022-08-07
卷期号:: 001872082211169-001872082211169
被引量:4
标识
DOI:10.1177/00187208221116949
摘要
Objective A study of auditory displays for simulated patient monitoring compared the effectiveness of two sound categories (alarm sounds indicating general risk categories from international alarm standard IEC 60601-1-8 versus event-specific sounds according to the type of nursing unit) and two configurations (single-patient alarms versus multi-patient sequences). Background Fieldwork in speciality-focused high dependency units (HDU) indicated that auditory alarms are ambiguous and do not identify which patient has a problem. We tested whether participants perform better using auditory displays that identify the relevant patient and problem. Method During simulated patient monitoring of four patients in a respiratory HDU, 60 non-clinicians heard either (a) IEC risk categories as single-patient alarm sounds, (b) event-specific categories as single-patient alarm sounds, (c) IEC risk categories in multi-patient sequences or (d) event-specific categories in multi-patient sequences. Participants performed a perceptual-motor task while monitoring patients; after detecting abnormal events, they identified the patient and the event. Results Participants hearing multi-patient sequences made fewer wrong patient identifications than participants hearing single-patient alarms. Advantages of event-specific categories emerged when IEC risk category sounds indicated more than one potential event. Even when IEC and event-specific sounds indicated the same unique event, spearcons supported better event identification than did auditory icon sounds. Conclusion Auditory displays that unambiguously convey which patient is having what problem dramatically improve monitoring performance in a preclinical HDU simulation. Application Time-compressed speech assists development of detailed risk categories needed in specific HDU contexts, and multi-patient sound sequences allow multiple patient wellbeing to be monitored.
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