Objective

Address the alarm problem by redesigning, reorganizing, and reprioritizing to better discriminate alarm sounds and displays in a hospital.

Background

Alarms in hospitals are frequently misunderstood, disregarded, and overridden.

Method

Discovery-oriented, intervention, and translational studies were conducted. Study objectives and measures varied, but had the shared goals of increasing positive predictive value (PPV) of critical alarms by reducing low-PPV alarms in the background, prioritizing alarms, redesigning alarm sounds to increase information content, and transparently conveying who initiated alarms. An alarm ontology was iteratively generated and refined until consensus was achieved.

Results

The ontology distinguishes five levels of urgency that incorporate likely PPV, three categories for who initiates the alarm (hospital staff, patient, or machine), whether it is clinical or technical, and clinical functions.

Conclusion

This unique collaboration allowed us to make progress on the alarm problem by making unintuitive leaps, avoiding common missteps, and refuting conventional healthcare approaches.

Application

Hospitals can consistently redesign, reorganize, reprioritize, and better discriminate alarms by priority, PPV, and content to reduce nurse response times.

中文翻译：

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应用人因工程解决大型医疗中心的遥测报警问题

客观的

通过重新设计、重组和重新确定优先级来解决警报问题，以更好地区分医院中的警报声音和显示。

背景

医院的警报经常被误解、忽视和忽视。

方法

进行了以发现为导向的干预和转化研究。研究目标和措施各不相同，但有一个共同目标，即通过减少后台的低 PPV 警报、优先警报、重新设计警报声音以增加信息内容以及透明地传达谁发起警报来提高关键警报的阳性预测值 (PPV)。一个警报本体被迭代生成和细化，直到达成共识。

结果

该本体区分了五个紧急级别，包括可能的 PPV、三个类别的警报启动者（医院工作人员、患者或机器），无论是临床还是技术，以及临床功能。

结论

这种独特的合作使我们能够通过不直观的飞跃、避免常见的失误和驳斥传统的医疗保健方法，在警报问题上取得进展。

应用

医院可以通过优先级、PPV 和内容不断地重新设计、重新组织、重新排序和更好地区分警报，以减少护士响应时间。