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.
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| http://dx.doi.org/10.2345/0899-8205-51.2.109 | DOI Listing |
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