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Enhancing Pharmacovigilance and Reducing Medication Errors by Applying AI to Product Labels
Session Chair(s)
Daniele Sartori, MPharm
Senior Pharmacovigilance Scientist
Uppsala Monitoring Centre, Sweden
This session aims to explore the application of AI to drug labeling to enhance pharmacovigilance, reduce medication errors, and improve patient safety. Presenters will discuss the complexities and share real examples from both end-user and technology perspectives.
Learning Objective : Discuss opportunities to apply artificial intelligence (AI) to drug labeling to enhance labeling review, surveillance activities, and medication error reduction; Identify the complexities and barriers to applying AI techniques to modernize labeling-related activities.
Speaker(s)
Regulatory Perspective
Brett Howard, JD, PhD
USP, United States
Senior Director, US Regulatory Policy
From Text to Intelligence: Architecting AI Systems for Drug Labeling and Pharmacovigilance
Fatima Sabar, MSc
Bluenote AI, United States
CEO and Founder
AI in Drug Labelling: Toward Harmonized, Globally Aligned Product Information
Daniele Sartori, MPharm
Uppsala Monitoring Centre, Sweden
Senior Pharmacovigilance Scientist
Computerized Labeling Assessment Using AI
Suranjan De, MBA, MS
FDA, United States
Deputy Director, Regulatory Science, OSE, CDER
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