Title :
Pharmacovigilance, signal detection and signal intelligence overview
Author :
Shibata, Atsuko ; Hauben, Manfred
Author_Institution :
Global Safety, Amgen Inc., Thousand Oaks, CA, USA
Abstract :
The field of pharmacovigilance (or drug safety surveillance) has evolved significantly over the last few years. Most notably, various statistical methods have been developed and applied to the scan of large-scale adverse event (AE) databases to identify disproportionality in the reporting of specific product-AE combinations against marginal distributions as a background. This paper provides an overview of the safety signal detection framework and how statistical data mining methods complement traditional safety monitoring approaches in the framework. In addition, commonly used statistical methods and AE databases are described with some analytical examples. Finally, emerging trends and future considerations in safety signal detection are discussed. This paper provides a context for the topics related to cross-functional signal intelligence.
Keywords :
data mining; database management systems; medical signal detection; safety; statistical analysis; surveillance; AE databases; cross-functional signal intelligence; drug safety surveillance; large-scale adverse event databases; pharmacovigilance; safety monitoring approach; safety signal detection framework; signal intelligence; statistical data mining methods; Databases; Drugs; Monitoring; Risk management; Safety; Signal detection; Statistical analysis; Drug safety; pharmacovigilance; safety surveillance; signal detection; signal intelligence;
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9