AI approaches can help us understand what physicians and other stakeholders are discussing and sharing with field teams. This voice-of-the-physician data can reveal what they are concerned about, what needs or questions they have, as well as what they share about the diagnosis and treatment of patients. Similar approaches can be applied to other data sources such as medical information requests and other proprietary sources. With these techniques, medical affairs teams can work with this rich data more efficiently and be more responsive to the needs of stakeholders.

Generating data and analysis is only the first step, however, with true insights requiring medical affairs teams to consider the results in the context of their overall strategies and objectives and bringing in perspective from thought leaders and other experts to truly make strategy development and decision making more data driven.

Join us to hear Hywel Evans share methods and examples of how to apply AI/NLP methods to MSL notes and other sources. And from Reinhard Berkels on the challenges in developing actionable inside withing medical affairs.

What you will learn:

• Approaches and examples of how to apply NLP, machine learning, and large language models such as GPT to MSL notes.
• Ways to think about insights generation that are data driven and actionable.

Speakers

Hywel Evans
Director of NLP Insights Hub, IQVIA NLP

Reinhard Berkels
Head of Medical Affairs Strategy, IQVIA