LLM Guidance in Action: Applying AI Frameworks Across HEOR and SLRs

Webinar on LLM Guidance in Action:
Applying AI Frameworks Across HEOR and SLRs

Tuesday, January 13 at 11am ET

Join a panel of experts sharing insights on methodological guidance for generative AI. This session will highlight the practical applications, evolving standards, and emerging questions around the use of Large Language Models LLMs) in evidence work – from academic reviews to industry submissions

Register for this virtual event, happening Tuesday, January 13 at 11am EDT / 4pm GMT.

As we move into 2026, formal guidance around the use of LLMs for evidence workflows is taking shape. AI continues its rapid integration into Health Economics and Outcomes Research (HEOR) and evidence synthesis, so the conversation around whether or not teams should use LLMs is shifting into how teams should do so responsibly, effectively, and transparently.

This session will explore how leaders across sectors are translating draft frameworks into practice, and what’s still missing from the evolving landscape.

Who You’ll Hear From

• Rachael Fleurence, PhD, President & Founder, Apodeixis Strategies Consulting
• Riaz Qureshi, PhD, Senior Methodologist, PICO Portal & Assistant Professor, University of Colorado
• Eitan Agai, CEO & Founder of PICO Portal

What You’ll Learn

• How leaders are navigating the real-world use of LLMs across HEOR and evidence synthesis
• Where emerging guidance is clarifying responsible, transparent AI use, and what’s still uncertain
• Practical insights for applying generative AI without compromising rigor, reproducibility, or trust

Whether you’re a researcher, HTA specialist, or industry methodologist, this webinar will offer grounded, forward-looking insight into how to use generative AI without compromising trust or transparency.

Date and Time:

Tuesday, January 13th, 2025
11 am – 12 pm Eastern Time (New York) 

Can’t make it live? Register to receive the recording.