Renamed: Information Visualization Platform (InfoViP) to Support Analysis of FAERS safety reports Previously: Information Visualization Platform (InfoViP) to Support Analysis of adverse event reports
Description
The AI is intended to support the analysis of FAERS Individual Case Study Reports in post-market safety surveillance by automating duplicate detection, creating temporal visualizations, and classifying reports by information quality.
Detailed example
Performs Natural Language Processing (NLP) and applying Machine Learning (ML) algorithm to extract data from unstructured case narratives and combine with structured data to support analysis and review of adverse event reports.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Information Visualization Platform (InfoVIP) supports post-market surveillance using AI to assist with review and analysis of adverse event reports with advanced visualizations including temporal data and algorithms for detection of duplicate FAERS adverse event reports and classification of reports by level information quality.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Adverse Event data in FAERS