Literature DB >> 17604419

Innovations for the future of pharmacovigilance.

June S Almenoff1.   

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.

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Year:  2007        PMID: 17604419     DOI: 10.2165/00002018-200730070-00013

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  3 in total

Review 1.  Perspectives on the use of data mining in pharmaco-vigilance.

Authors:  June Almenoff; Joseph M Tonning; A Lawrence Gould; Ana Szarfman; Manfred Hauben; Rita Ouellet-Hellstrom; Robert Ball; Ken Hornbuckle; Louisa Walsh; Chuen Yee; Susan T Sacks; Nancy Yuen; Vaishali Patadia; Michael Blum; Mike Johnston; Charles Gerrits; Harry Seifert; Karol Lacroix
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

2.  Comparative performance of two quantitative safety signalling methods: implications for use in a pharmacovigilance department.

Authors:  June S Almenoff; Karol K LaCroix; Nancy A Yuen; David Fram; William DuMouchel
Journal:  Drug Saf       Date:  2006       Impact factor: 5.606

3.  Evolving paradigms in pharmacovigilance.

Authors:  Wendy Brewster; Trevor Gibbs; Karol Lacroix; Alison Murray; Michael Tydeman; June Almenoff
Journal:  Curr Drug Saf       Date:  2006-05
  3 in total
  5 in total

1.  The potential of the internet.

Authors:  Jamie J Coleman; Sarah E McDowell
Journal:  Br J Clin Pharmacol       Date:  2012-06       Impact factor: 4.335

Review 2.  Post marketing surveillance of suspected adverse drug reactions through spontaneous reporting: current status, challenges and the future.

Authors:  Muaed Alomar; Ali M Tawfiq; Nageeb Hassan; Subish Palaian
Journal:  Ther Adv Drug Saf       Date:  2020-08-10

3.  E-pharmacovigilance: development and implementation of a computable knowledge base to identify adverse drug reactions.

Authors:  Antje Neubert; Harald Dormann; Hans-Ulrich Prokosch; Thomas Bürkle; Wolfgang Rascher; Reinhold Sojer; Kay Brune; Manfred Criegee-Rieck
Journal:  Br J Clin Pharmacol       Date:  2013-09       Impact factor: 4.335

4.  Methods for retrospective detection of drug safety signals and adverse events in electronic general practice records.

Authors:  Andrew Tomlin; David Reith; Susan Dovey; Murray Tilyard
Journal:  Drug Saf       Date:  2012-09-01       Impact factor: 5.606

Review 5.  Post-approval drug safety surveillance.

Authors:  Robert D Gibbons; Anup K Amatya; C Hendricks Brown; Kwan Hur; Sue M Marcus; Dulal K Bhaumik; J John Mann
Journal:  Annu Rev Public Health       Date:  2010       Impact factor: 21.981

  5 in total

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