The Dataiku Solution for Pharmacovigilance provides a scalable framework to ingest adverse drug reaction safety reports, process and clean data, and accelerate the generation of safety insights and potential signals that inform drug risk profiles.
To better discover patterns and detect potential safety signals in adverse drug reactions, quickly upload, process, clean, and filter standard data files from the FDA Adverse Event Reporting System (FAERS) public database with an easy-to-use application.
Easily process complex raw data and filter on demographic, drug, reaction, and report characteristics. Get analysis-ready signal surveillance and immediate insights in a reproducible, automated data flow.
Calculate common disproportionality metrics including relative odds ratios (ROR), proportional reporting ratio (PRR), and empirical bayes geometric mean (EBGM) to understand and triage potential drug safety signals found in spontaneously reported systems.
Identify and visualize patterns in your safety data with the solution’s descriptive analytics and charts. Get a complete picture of complex patterns and potential safety concerns through interactive visualization. Visual dashboards help ensure benefit in diverse populations over longer time periods.
Filter reports, generate cohort signals, and run drug/reaction analysis to detect dangerous interactions or drug misuse and discover potential off-label treatment for new indications. Leverage built-in dashboards to discover disparate trends in adverse drug reactions (ADR) across age groups and gender cohorts, and quickly build more custom analysis
Gather signals from spontaneous reporting systems, set analytics-based alerts and easily push the resulting elements into case management systems for investigation.
The Dataiku Solution for Pharmacovigilance helps answer a broad range of questions like:
