Generative AI in Literature Extraction: Boosting Efficiency In Pharmacovigilance

How Generative AI is shaping the future of drug safety

Traditionally literature review and data extraction in pharmacovigilance are often slow and manual, leading to inefficiencies. Generative artificial intelligence (AI), using advanced natural language processing (NLP), offers a powerful solution by automating the identification and categorization of adverse events (AEs) from science literature. 

This webinar will explore how generative AI enhances the speed to accuracy of literature analysis, surpassing traditional methods. Through real-world case studies, we'll examine the practical challenges and successes of implementing AI in pharmacovigilance. Additionally we'll discuss how these AI models can be expanded to other areas within the field, paving way for more efficient drug safety monitoring. 

Key topics covered in this presentation include:

• The power of generative AI in literature case extractions
• Current challenges in generative AI implementations
• Learning experiences from pilots and implementations

Meet the Speakers

Updesh S Dosanjh

Practice Leader, Safety Technology Solutions​ at IQVIA

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Vinitha Kandala

Business System Analyst, Safety solutions at IQVIA​

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