Deploy AI to transform adverse event processing, signal detection, and benefit-risk assessment across the product lifecycle.
Before
Take a publicly available adverse event narrative from the FDA Adverse Event Reporting System (FAERS) database. Deconstruct it into structured data elements, then use the narrative generation prompt to have AI reconstruct the narrative. Compare the AI-generated version with the original for completeness, accuracy, and clinical appropriateness.
After
AI can reduce ICSR processing time by 40-60% by automating intake triage, suggesting MedDRA codes, drafting causality assessments, and generating case narratives. But the regulatory expectation is clear: a qualified safety professional must review and approve every case before submission. AI is the co-pilot, not the pilot, in pharmacovigilance.
Tip
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Automated Adverse Event Case Processing
Understand the ICSR lifecycle and where AI adds value at each stage
AI-Powered Signal Detection
Understand disproportionality analysis and how AI enhances traditional signal detection methods
AI-Assisted Benefit-Risk Assessment
Use AI to structure quantitative benefit-risk frameworks for regulatory submissions and lifecycle management