December 10, 2026
Title: Generative AI: Driving the Next Era of Evidence-Based Medicine
Thursday, December 10, 2026
12:00PM EST | 5:00PM UTC | 6:00PM CET
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Registration Coming Soon!
Description
Generative AI (GenAI) is transforming health economics and outcomes research (HEOR) and real-world evidence (RWE) by enabling new ways to analyze large datasets, model complex phenomena, and support evidence-based decision making. Powered by large language models (LLMs), GenAI enables richer analysis of diseases and treatment outcomes and more efficient insight extraction from diverse data sources such as electronic health records, claims data, and scientific literature. These capabilities are unlocking new opportunities to advance health care innovation and improve patient outcomes. This webinar will explore the frontiers of GenAI, highlight key developments and challenges, and showcase its applications in HEOR and RWE.
Learning Objectives:
- Learn how data from EMRs, disease registries, and population-based cohorts can be curated, linked, and enriched with AI to generate insights that are both context-specific and globally relevant.
- Understand how GenAI can streamline the automated screening of published research by translating and summarizing scientific literature across multiple languages.
- Introduce a new RWE research initiative jointly launched by Harvard School of Public Health and Analysis Group to advance precision health and to apply AI to deepen understanding of disease and treatment outcomes
Moderator:
Jimmy Royer, Ph.D., M.A. Economics, Principal, Analysis Group, Montreal, QC, Canada
Speakers:
Intekhab Hossain, Ph.D. Biostatistics, Senior Data Scientist, Analysis Group, Boston, MA, USA
Esteban Leon, Ph.D. Physics, Senior Data Scientist, Analysis Group, Boston, MA, USA
Sponsored by Corporate Partner, Analysis Group.
Please note: On the day of the scheduled webinar, the first 1000 registered participants will be accepted into the webinar. For those who are unable to attend, or would like to review the webinar at a later date, the full-length webinar recording will be made available at the ISPOR Educational Webinar Series webpage approximately 2 days after the scheduled Webinar. Reservations are on a first-come, first-served basis.