
Will crowd-sourced online search data become a better 'sentinel' for adverse event reporting?
Academic study finds evidence of an early warning system in anonymized Web searches
Researchers at Columbia University, Stanford University and Microsoft Corp. have reported that analysis of search-engine phrases could become a crowd-sourced method of detecting adverse events from drug interactions, and potentially long before FDA’s MedWatch system picks up the signal. The development could be something of an end-run around FDA’s Sentinel Initiative, a effort started in 2008 to extract adverse event signals from patient records, such as those recorded in electronic health-record (EHR) systems now being installed in many health systems nationally. And that, in turn, is an end-run around one of the main obstacles in generating adverse-event reports (AERs) in the first place: the willingness and dutifulness of medical doctors to file them with FDA’s reporting system. (Various studies have estimated that as few as 10% of adverse events get reported.)
According to the study, published in the Journal of the Medical Informatics Assn. (Am Med Inform Assoc doi:10.1136/amiajnl-2012-001482), and reported in the
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