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Optimizing Smart Pump Technology by Increasing Critical Safety Alerts and Reducing Clinically Insignificant Alerts

机译:通过增加关键安全警报并减少临床上不重要的警报来优化智能泵技术

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摘要

Background: Alerts generated by intravenous (IV) infusion pump safety software prevent life-threatening situations that might otherwise go unnoticed. However, when alerts are often clinically insignificant, health care workers may become desensitized and discount their importance, resulting in potentially dangerous situations. Little research has been devoted to visual alert desensitization. Method: This paper describes how the Carolinas HealthCare System decreased the number of nonclinically relevant infusion pump alerts by analyzing alert data that were formatted into scatter plots. This in turn enabled the identification of the medications associated with the most meaningful alerts and those associated with the least meaningful alerts.Conclusion: By revising drug library limits for specific medications, it was possible to decrease the number of less clinically meaningful alerts, reduce alert fatigue, and thereby increase the effectiveness of the smart infusion pumps. This added another layer of safety to patient care.
机译:背景:静脉输液泵安全软件生成的警报可防止威胁生命的情况,否则可能不会引起注意。但是,当警报通常在临床上不重要时,医护人员可能会变得不敏感并失去其重要性,从而导致潜在的危险情况。关于视觉警报脱敏的研究很少。方法:本文介绍了Carolinas HealthCare System如何通过分析格式化为散点图的警报数据来减少非临床相关输液泵警报的数量。这反过来又可以识别与最有意义的警报相关的药物和与最不有意义的警报相关的药物。结论:通过修改特定药物的药物库限制,可以减少临床意义较差的警报的数量,减少警报疲劳,从而提高了智能输液泵的效率。这为患者护理增加了另一层安全性。

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