BACKGROUND
Driven by concerns about adverse drug reactions among medical staff and the general public in the context of pharmacovigilance innovations, we developed and validated a visualization platform for query and analysis exploiting FDA adverse event reporting system data(FAERS). A case study of the association between sulfonylureas and serious skin adverse reactions to validate platform usability.
OBJECTIVE
Our goal was to facilitate the utilization of FAERS data by medical personnel and general public by introducing a visualization platform for ADR query and analysis, and promote the development of PV further.
METHODS
For users to utilize FAERS data directly, we performed appropriate data acquisition, cleaning and subsequent platform interface and functional development of available data. In order to evaluate the usability of the platform, we elaborated a case study of serious skin adverse reactions caused by sulfonylureas.
RESULTS
We developed a visualization platform which can directly query and analyze adverse reaction signals based on FAERS data. The platform consisted of five components, including the login page, multi-condition query, drug and adverse reaction query, primary ID query and data download interface. The high usability of the platform was verified by demonstrating the signal mining results of serious skin adverse reactions caused by sulfonylureas and visualizing information.
CONCLUSIONS
The visualization platform and verification cases constructed in this study could provide a suitable framework and method for drug safety research, which was expected to promote the development of pharmacovigilance.