Can GenAI Help Regulatory Teams Scale Up Their Operations? Pitfalls and Best Practices

Generative AI (GenAI) and Large Language Models (LLMs) have sparked significant interest for their potential to transform medtech regulatory operations, but their adoption in regulated industries requires careful consideration. This workshop will explore how GenAI can enhance efficiency in tasks such as compliance documentation, regulatory submissions, and risk analysis while maintaining the high standards required in regulatory environments.

Through real-world case studies and a new benchmark study comparing six leading LLMs to human expert performance, participants will learn to identify where these tools excel and where human oversight remains essential. Practical insights will be shared on striking the right balance between automation and human involvement, along with strategies to mitigate risks associated with adopting AI in regulatory workflows.

Attendees will leave with actionable strategies to evaluate and implement AI tools effectively, including criteria for accuracy, reliability, and compliance. They’ll also gain guidance on integrating AI into existing IT infrastructures and aligning these initiatives with business goals and regulatory requirements.

By applying these learnings, participants will be equipped to enhance their organizations’ regulatory capabilities, scale operations, and improve job efficiency while ensuring compliance and patient safety.