Suppr超能文献

药物警戒中社交媒体使用的建议:来自 IMI WEB-RADR 的经验教训。

Recommendations for the Use of Social Media in Pharmacovigilance: Lessons from IMI WEB-RADR.

机构信息

Janssen R&D, Horsham, PA, USA.

Uppsala Monitoring Centre, Uppsala, Sweden.

出版信息

Drug Saf. 2019 Dec;42(12):1393-1407. doi: 10.1007/s40264-019-00858-7.

Abstract

Over a period of 3 years, the European Union's Innovative Medicines Initiative WEB-RADR project has explored the value of social media (i.e., information exchanged through the internet, typically via online social networks) for identifying adverse events as well as for safety signal detection. Many patients and clinicians have taken to social media to discuss their positive and negative experiences of medications, creating a source of publicly available information that has the potential to provide insights into medicinal product safety concerns. The WEB-RADR project has developed a collaborative English language workspace for visualising and analysing social media data for a number of medicinal products. Further, novel text and data mining methods for social media analysis have been developed and evaluated. From this original research, several recommendations are presented with supporting rationale and consideration of the limitations. Recommendations for further research that extend beyond the scope of the current project are also presented.

摘要

在 3 年的时间里,欧盟创新药物倡议 WEB-RADR 项目探索了社交媒体(即通过互联网交换的信息,通常通过在线社交网络)在识别不良事件和安全信号检测方面的价值。许多患者和临床医生已经开始使用社交媒体来讨论他们对药物的积极和消极体验,创造了一个潜在的公开信息来源,可以深入了解药物安全问题。WEB-RADR 项目为许多药物开发了一个协作式英语工作空间,用于可视化和分析社交媒体数据。此外,还开发和评估了用于社交媒体分析的新颖文本和数据挖掘方法。从这项原始研究中,提出了几项建议,并提供了支持的理由和对限制的考虑。还提出了超出当前项目范围的进一步研究建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5943/6858385/787ed3278234/40264_2019_858_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验