与当前实践比较基于患者特异性指示的处方工具的安全性,性能和用户认知:一种混合方法随机用户测试研究.
Calandra Feather1,2, Jonathan Clarke3, Nicholas Appelbaum4,2
1Department of Surgery and Cancer, Imperial College London, London, UK c.feather@imperial.ac.uk.
BMJ quality & safety
|November 22, 2024
概括
一个基于指示的处方工具显著减少了药物错误和模拟任务中的工作量. 临床决策支持系统 (CDSS) 的这一进步显示出改善患者安全和处方效率的前景.
科学领域:
- 医疗信息学 医疗信息学
- 患者安全 患者安全
- 临床决策支持系统 临床决策支持系统
背景情况:
- 药物错误是医疗保健中可预防的伤害的主要原因之一.
- 现有的临床决策支持系统 (CDSS) 在防止这些错误方面存在局限性.
- 为了解决这些局限性,开发了一种基于指示的处方工具.
研究的目的:
- 为了比较药物处方错误的发生率和类型,使用和不使用新的基于指示的处方工具.
- 评估对处方时间 (TTP) 和感知工作负载 (NASA-TLX) 的影响.
- 识别工作流漏洞并收集用户反.
主要方法:
- 一个模拟的,随机的,交叉研究在伦敦的NHS信托.
- 24名参与者在干预和没有干预的情况下完成了处方任务.
- 通过直接观测,NASA-TLX和半结构面试收集的数据.
主要成果:
- 干预措施显著减少了处方错误,从28.3%降至6.6% (或0.18,p<0.01).
- 使用该工具观察到更短的处方时间和更低的感知工作负载 (NASA-TLX).
- 对照组的错误包括错误的剂量和限制;干预错误涉及错误识别患者信息.
结论:
- 基于指示的处方工具是药物安全和处方效率的有希望的进步.
- 需要对不同患者群体和环境进行进一步的现实世界评估.
- 该系统需要开发以满足更广泛的用户和医疗保健需求.
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