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相关概念视频

Drug Therapy01:28

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识别和防止与多种药房相关的未知的处方错误.

Giovanna Gentile1,2, Antonio Del Casale3,4, Ottavia De Luca2

  • 1, Via di Grottarossa 1035/1039, Rome, 00189, Italy.

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概括
此摘要是机器生成的。

临床决策支持系统有效地识别和减少多药患者的处方错误. 这项研究强调了它们在复杂药物治疗方案中预防药物危害的价值.

关键词:
药物-PIN®® 是一种药物.药物相互作用 药物相互作用药物错误可能是药物错误.多种药房 多种药房处方中的错误 处方中的错误

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相关实验视频

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科学领域:

  • 临床药房 临床药房
  • 医疗信息学 医疗信息学
  • 患者安全 患者安全

背景情况:

  • 处方错误造成了严重的健康和经济负担.
  • 多药性 (≥5种药物) 增加了由于复杂的药物相互作用和指导方针而未被检测到的错误的风险.
  • 临床决策支持系统 (CDSS) 对于评估多药和预防错误至关重要.

研究的目的:

  • 评估多药房患者未被识别的处方错误的频率.
  • 评估特定CDSS (Drug-PIN®) 在优化治疗和减少药物危害方面的有效性.
  • 为了确定医院入院前设置中可避免的处方错误率.

主要方法:

  • 一种商业的CDSS,Drug-PIN®,用于分析307名患者的药物治疗方案.
  • 该系统评估了治疗患者的风险 (低,中等,高) 并建议优化.
  • 处方错误被定义为优化降低计算风险得分的情况.

主要成果:

  • 在205名患者 (67.1%) 中确定了多药性.
  • 在91名患者 (29.6%) 中,Drug-PIN®预测了中度至高风险的药物损害.
  • 由Drug-PIN®指导的治疗优化成功降低了这些患者中的58人 (63.7%) 的风险,总体可避免的处方错误率为18.89%.

结论:

  • 计算机辅助的药物危害评估是防止多药学处方错误的宝贵工具.
  • 在脆弱人群中,医院入院前服务对于识别和纠正潜在有害的多药疗法至关重要.
  • 系统地使用CDSS可以通过拦截和纠正处方错误,显著提高患者的安全.