基于知识的临床决策支持系统的应用,以检测抗生素过敏
Nayoung Han1, Ock Hee Oh2, John Oh3
1Jeju Research Institute of Pharmaceutical Sciences, College of Pharmacy, Jeju National University, Jeju 63243, Republic of Korea.
Antibiotics (Basel, Switzerland)
|March 27, 2024
概括
该K-CDS系统有效地识别抗生素过敏,防止对患者有害的处方. 这种临床决策支持系统 (CDSS) 通过检测潜在的药物过敏来提高患者的安全性.
科学领域:
- 临床信息学 临床信息学
- 药物监督 药物监督 药物监督
- 预防药物过敏 预防药物过敏
背景情况:
- 患者的安全至关重要,需要有效的策略来预防药物过敏.
- 抗生素过敏是一个很大的风险,需要强大的检测和管理系统.
研究的目的:
- 评估K-CDS (抗生素过敏检查临床决策支持系统) 的有效性.
- 评估实施K-CDS在预防抗生素过敏相关不良事件方面的结果.
主要方法:
- 在29家医院进行了回顾性图表审查.
- 分析了15535例来自1586名患者的抗生素过敏警报病例 (2022年5月至8月).
- 评估警报数据,包括抗生素类别,交叉反应性和报告的过敏症状.
主要成果:
- 类药物是最常被处方的 (48.5%).
- 在beta-lactam抗生素之间观察到更高的交叉活性警报.
- 皮肤 (38.8%) 和胃肠道 (28.4%) 疾病是最常见的症状;严重的反应如过敏反应 (222例) 和严重的皮肤不良反应 (61例) 被注意到.
结论:
- K-CDS有效地检测出抗生素过敏,并防止处方潜在的过敏原抗生素.
- 该系统在治疗有抗生素过敏史的患者方面取得了成功.
- 基于云的K-CDS在全国范围内扩展可以显著减少药物处方导致过敏复发的情况.
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