A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports.
Adverse drug events (ADEs) are common and account for 770 000 injuries and deaths each year and drug interactions account for as much as 30% of these ADEs. Spontaneous reporting systems routinely collect ADEs from patients on complex combinations of medications and provide an opportunity to discover unexpected drug interactions. Unfortunately, current algorithms for such "signal detection" are limited by underreporting of interactions that are not expected. We present a novel [...]
Author(s): Tatonetti, Nicholas P, Fernald, Guy Haskin, Altman, Russ B
DOI: 10.1136/amiajnl-2011-000214