在网络论坛上监测药物不良事件:管道评估和使用案例研究
Pierre Karapetiantz1, Bissan Audeh1, Akram Redjdal1
1Inserm, Sorbonne Université, université Paris 13, Laboratoire d'informatique médicale et d'ingénierie des connaissances en e-santé, LIMICS, F-75006, Paris, France.
Journal of medical Internet research
|June 18, 2024
概括
这项研究开发了一种用户友好的工具,用于分析社交媒体数据,用于药物监测,通过识别不良药物事件 (ADEs) 来加强药物安全监测和监管决策.
科学领域:
- 药物监督 药物监督 药物监督
- 卫生监测 卫生监测
- 监管科学 监管科学
背景情况:
- 监管机构在药物安全方面面临挑战,原因是传统的药物监管系统报告不足.
- 社交媒体为识别药物不良事件 (ADEs) 提供了大量未开发的真实世界数据来源.
研究的目的:
- 开发和评估一个处理社交媒体数据的管道,用于药监.
- 为监管决策创建一个用户友好的图形用户界面 (GUI).
- 将社交媒体数据整合到药物监测中,以加强药物安全监测.
主要方法:
- 开发了一个4个模块的管道:后提取,注释,信号检测和GUI.
- 分析了与健康相关的法国网络论坛帖子.
- 一个关于Levothyrox新配方引入的案例研究表明了管道的有效性.
主要成果:
- 分析了超过200万条帖子,确定了超过437,000个药物-ADE对.
- 关于Levothyrox的社交媒体帖子的显著增加与患者向当局报告的增加相吻合.
- 图形界面允许在没有编码的情况下进行简单的定量分析.
结论:
- 开发的管道和GUI可以帮助监管机构进行健康监测和识别安全问题.
- 需要进一步研究人体工程学和对监管专业人员的影响.
- 该方法证明了药监应用的多功能性和互操作性.
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