呼吁采取行动,检测和预防药物不良事件 (ADE)
John McCue1, C David Butler2, Raymond C Love3
1Healthcare Quality and Safety Center of Excellence, United States Pharmacopeia, Rockville, MD, United States.
Frontiers in digital health
|April 14, 2025
概括
药物不良反应 (ADEs) 导致数以百万计的急诊. 使用美国药典 (USP) 值集标准化ADE数据可以改善检测并支持医疗保健中的AI/ML.
科学领域:
- 医疗信息学 医疗信息学
- 药物监督 药物监督 药物监督
- 临床决策支持 临床决策支持
背景情况:
- 药物不良事件 (ADEs) 是急诊室访问和住院的重要原因之一.
- 目前的ADE检测受到数据质量不佳,缺乏标准化和不充分的临床决策支持系统的阻碍.
研究的目的:
- 建议通过美国药典 (USP) 设定的标准化ADE值.
- 在电子健康记录 (EHR) 中增强ADE信息的识别,文档和利用.
- 加强人工智能 (AI) 和机器学习 (ML) 在药物监督方面的能力.
主要方法:
- 开发和提出一个标准化的ADE值集.
- 将设置值集成到EHR系统中,以改进数据捕获.
- 利用标准化数据用于AI/ML模型开发.
主要成果:
- 对ADE数据的标准化有助于更准确的识别和文档.
- 提高数据质量支持开发更有效的临床决策支持工具.
- 增强数据使先进的AI/ML应用程序能够用于ADE预测和预防.
结论:
- 实施USP ADE值集对于改善医疗保健中的ADE管理至关重要.
- 标准化的ADE数据对于在药物监督中推进AI/ML至关重要.
- 这一举措有望降低与ADE相关的发病率和医疗保健成本.
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