AI in Drug Safety and Pharmacovigilance: The Future of Patient Safety

In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota dives into the transformative role of artificial intelligence in drug safety and pharmacovigilance. With the ability to process thousands of adverse event reports daily, AI is reshaping how pharmaceutical companies identify and respond to safety signals, ensuring patient safety remains paramount.

Dr. Jagota explores three primary areas of impact: adverse event processing, signal detection, and risk assessment. From automating the classification of adverse events to uncovering rare safety patterns through advanced analytics, AI is enabling faster, more accurate responses. The episode also highlights regulatory requirements for AI-enabled pharmacovigilance systems, including Good Pharmacovigilance Practices (GVP), data quality standards, and continuous learning protocols.

Listeners will learn how AI systems are integrated with global safety databases, adapt to new safety information while maintaining compliance, and enhance risk management strategies. Dr. Jagota provides actionable insights into the evolving regulatory landscape and the balance between innovation and oversight.

Join Dr. Jagota as he examines the future of pharmacovigilance and how AI is elevating patient safety through advanced technology and robust regulation. 

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For more resources and insights, visit Nirdosh Jagota's Official Website.