Cosper Pam, Zellinger Mary, Enebo Allen, Jacques Samantha, Razzano Lynn, Flack Marilyn Neder
Biomed Instrum Technol. 2017 Mar-Apr;51(2):109-115. doi: 10.2345/0899-8205-51.2.109.
This article focuses on the type of problems that lead to false or nonactionable clinical alarms and the type of data that can help identify which of these alarms are most prevalent in specific units in healthcare facilities. The process of identifying necessary data is first described, as this activity will drive later choices on capturing data. This article also discusses how to use the data collected in alarm reports to help determine which alarms should be targeted first for improved management in a pilot environment. Suggestions are provided on how to reduce false and nonactionable alarm signals and how to monitor to ensure no untoward consequences occur from new alarm default settings. The information provided here can be individualized to hospitals and units to enhance alarm management with physiological monitor alarms. It also can be adapted to reduce nonactionable alarm signals occurring from other medical devices.
本文聚焦于导致错误或不可操作的临床警报的问题类型,以及有助于识别哪些警报在医疗机构特定科室最为普遍的数据类型。首先描述了识别必要数据的过程,因为此活动将推动后续关于数据采集的选择。本文还讨论了如何利用警报报告中收集的数据,以帮助确定在试点环境中首先应针对哪些警报进行改进管理。文中提供了关于如何减少错误和不可操作的警报信号,以及如何进行监测以确保新的警报默认设置不会产生不良后果的建议。此处提供的信息可针对医院和科室进行个性化定制,以加强生理监测警报的管理。它也可进行调整,以减少其他医疗设备产生的不可操作的警报信号。