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探索药物类型和输液持续时间对IV智能报警器的影响
Lori T Armistead1, Karen K Giuliano2, Dan Degnan3
1Division of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.
概括
分析静脉内智能 (IVSP) 报警数据显示,特定药物类引发更频繁的报警. 这项研究确定了减少不必要的IVSP警报和提高患者安全的关键领域.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 患者安全工程 患者安全工程
- 临床药房 临床药房
背景情况:
- 警报疲劳是医院的一个重要问题,它会对护士的专注度和患者安全产生负面影响.
- 静脉注射智能 (IVSP) 的警报是警报疲劳的主要原因之一.
- 了解不必要的IVSP报警的原因对于制定有效的缓解策略至关重要.
研究的目的:
- 探索影响IVSP报警类型和频率的变量.
- 证明IVSP报警数据在确定需要改进的领域中的实用性.
- 为了减少不必要的IVSP警报的发生率,并减轻警报疲劳.
主要方法:
- 分析了一大数据集,包括6200万次IVSP输液和24个月内来自107家美国医院的相关报警数据.
- 详细检查不同药物类别和特定药物的警报类型和频率.
- 对警报数据的统计评估,以确定有问题的输液场景.
主要成果:
- 分析了超过6500万个警报,揭示了不同的模式.
- 抗菌注射与"开门"和"排队的玻璃空气"报警率更高有关.
- 中枢神经系统的药物显示了较少的"患者侧阻塞"警报,而阿片类药物激动剂产生了更多的患者控制的止痛警报. 抗瘤药物和单克隆抗体的报警率高于输液和高百分比的"波鲁斯空气在线"报警. 血液形成,凝血和血栓形成的药物 (例如,肝素) 显示出更多的"患者侧封闭"警报.
结论:
- 当IVSP警报数据按药物类别或单个药物分析时,可以有效地确定具体的干预领域.
- 基于这些数据的有针对性的改进可以帮助减少不必要的IVSP警报.
- 这种方法提供了一个数据驱动的策略,以打击警报疲劳并提高患者安全.
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