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药物警戒未来的创新。

Innovations for the future of pharmacovigilance.

作者信息

Almenoff June S

机构信息

Safety Evaluation and Risk Management, GlaxoSmithKline, Research Triangle Park, NC 27709, USA.

出版信息

Drug Saf. 2007;30(7):631-3. doi: 10.2165/00002018-200730070-00013.

Abstract

Post-marketing pharmacovigilance involves the review and management of safety information from many sources. Among these sources, spontaneous adverse event reporting systems are among the most challenging and resource-intensive to manage. Traditionally, efforts to monitor spontaneous adverse event reporting systems have focused on review of individual case reports. The science of pharmacovigilance could be enhanced with the availability of systems-based tools that facilitate analysis of aggregate data for purposes of signal detection, signal evaluation and knowledge management. GlaxoSmithKline (GSK) recently implemented Online Signal Management (OSM) as a data-driven framework for managing the pharmacovigilance of marketed products. This pioneering work builds upon the strong history GSK has of innovation in this area. OSM is a software application co-developed by GSK and Lincoln Technologies that integrates traditional pharmacovigilance methods with modern quantitative statistical methods and data visualisation tools. OSM enables the rapid identification of trends from the individual adverse event reports received by GSK. OSM also provides knowledge-management tools to ensure the successful tracking of emerging safety issues. GSK has developed standard procedures and 'best practices' around the use of OSM to ensure the systematic evaluation of complex safety datasets. In summary, the implementation of OSM provides new tools and efficient processes to advance the science of pharmacovigilance.

摘要

上市后药物警戒涉及对来自多个来源的安全信息进行审查和管理。在这些来源中,自发不良事件报告系统是最难管理且资源消耗最大的系统之一。传统上,监测自发不良事件报告系统的工作重点是对单个病例报告进行审查。如果有基于系统的工具来促进对汇总数据的分析,以进行信号检测、信号评估和知识管理,那么药物警戒科学将会得到加强。葛兰素史克(GSK)最近实施了在线信号管理(OSM),作为管理上市产品药物警戒的数据驱动框架。这项开创性工作建立在GSK在该领域悠久的创新历史之上。OSM是GSK和林肯技术公司共同开发的一款软件应用程序,它将传统药物警戒方法与现代定量统计方法及数据可视化工具整合在一起。OSM能够从GSK收到的单个不良事件报告中快速识别趋势。OSM还提供知识管理工具,以确保成功追踪新出现的安全问题。GSK围绕OSM的使用制定了标准程序和“最佳实践”,以确保对复杂安全数据集进行系统评估。总之,OSM的实施为推进药物警戒科学提供了新工具和高效流程。

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