title: Big Data and Adverse Drug Reaction Detection.
abstract: Big Data holds the promise of fundamentally transforming the manner in which adverse drug reactions can be identified and evaluated. This commentary discusses new data sources that are envisioned to form a Big Data-enabled pharmacovigilance system and the role of these data in powering the future of adverse drug reactions detection.
authors.affiliation: Oracle Health Sciences, Bedford, Massachusetts, USA.
authors.forename: R
authors.initials: R
authors.lastname: Harpaz
authors.affiliation: Oracle Health Sciences, Bedford, Massachusetts, USA.
authors.forename: W
authors.initials: W
authors.lastname: DuMochel
authors.affiliation: Stanford University, Stanford, California, USA.
authors.forename: N H
authors.initials: NH
authors.lastname: Shah
mesh_terms: D016907:Adverse Drug Reaction Reporting Systems / Q000706:statistics & numerical data*; D016208:Databases, Factual; D006801:Humans; D060735:Pharmacovigilance