Toward Enhanced Pharmacovigilance Using Patient‐Generated Data on the Internet

The promise of augmenting pharmacovigilance with patient-generated data drawn from the Internet was called out by a scientific committee charged with conducting a review of FDA's current and planned pharmacovigilance practices. To this end, we present a study on harnessing behavioral data drawn from Internet search logs to detect adverse drug reactions (ADRs). By analyzing search queries collected from 80 million consenting users and by using a widely recognized benchmark of ADRs, we find that the performance of ADR detection via search logs is comparable and complementary to detection based on FDA's adverse event reporting system (AERS). We show that by jointly leveraging data from AERS and search logs, the accuracy of ADR detection can be improved by 19% over the use of each data source independently. The results suggest that leveraging nontraditional sources, such as online search logs, could supplement existing pharmacovigilance approaches.