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Enhancing Pharmacovigilance and Reducing Medication Errors by Applying AI to Product Labels
Wednesday June 18, 2025 4:00pm - 5:00pm EDT
TBD
Component Type: Session
Level: Intermediate

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 Objectives

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.

Chair

Daniele Sartori, MPharm

Speaker

Computerized Labeling Assessment Using AI
Suranjan De, MBA, MS


Speakers
avatar for Suranjan De

Suranjan De

Deputy Director, Regulatory Science, OSE, CDER, FDA, United States
Mr. De is the Deputy Director of CDER’s Office of Surveillance and Epidemiology, Regulatory Science Staff at FDA. He provides expert advice and technical direction on regulatory science for developing new tools, standards, and approaches to assess the safety, efficacy, quality... Read More →
DS

Daniele Sartori

Senior Pharmacovigilance Scientist, Uppsala Monitoring Centre, Sweden
Daniele is a senior pharmacovigilance scientist at Uppsala Monitoring Centre and a candidate for a DPhil in Evidence-Based Health Care at the University of Oxford. He has over 10 years of experience in pharmacovigilance, focusing on signal detection, regulatory decision-making, and... Read More →
Wednesday June 18, 2025 4:00pm - 5:00pm EDT
TBD Walter E. Washington Convention Center 801 Allen Y. Lew Place, NW Washington, DC 20001-3614 USA
  01: ClinSafety-PV, Session

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