患者信息对处方错误的影响:从药物干预中获得的见解
Daisuke Koike1,2, Masahiro Ito1,2, Keiko Tomomatsu2,3
1Department of Gastroenterological Surgery, Fujita Health University School of Medicine, Bantane Hospital, 3-6-10, Otobashi, Nakagawa ward, Nagoya Zip cord: 454-8509, Japan.
Exploratory research in clinical and social pharmacy
|October 27, 2025
概括
药物错误通常与患者信息缺陷有关. 这项研究发现,实验室数据,周末剂量和儿科患者代表了处方错误的高风险区域,建议针对性干预以改善患者安全.
科学领域:
- * 临床信息学 * 临床信息学
- * * 患者安全
- * 卫生信息系统
背景情况:
- * 药物错误是一个重大问题,特别是在复杂的患者病例中.
- *医院系统中不准确或不完整的患者信息可能导致处方错误,即使有电子保护措施.
- *本研究重点是分析通过药物干预发现的处方错误,检查患者数据的作用.
研究的目的:
- * 分析通过药物干预检测到的处方错误.
- * 调查医院信息系统中患者特定信息对处方准确性的影响.
- * 确定与药物错误相关的高风险区域和患者人口统计数据.
主要方法:
- *从2019年4月到2020年3月,对9774种药物干预措施进行了回顾性分析.
- * 将3372项与患者信息相关的干预措施纳入医院信息系统.
- *基于过敏信息,实验室数据,并发药物,患者体重和患者状态/病史的错误分类;风险的热图可视化.
主要成果:
- * 40.1%的处方因处方错误而需要纠正.
- * 实验室数据是最常用的信息来源 (n=2526).
- * 周末 (56.2%) 与周日 (38.3%) 的错误率较高,在20岁以下的患者 (66.9%) 和消化药物 (69.1%) 中,特别是那些需要脏剂量的患者中,错误率较高.
结论:
- * 实验室数据对于防止处方错误至关重要.
- * 周末,儿科患者和脏剂量代表高风险场景.
- * 未来的系统应该加强实验室数据的整合,并针对高风险条件和设置实施量身定制的警报 (例如,人工智能驱动).
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