Accelerating the Adoption of Generative AI in HEOR: Lessons From Early Adopters

ISSUE: Generative Artificial Intelligence (AI) has the potential to revolutionize HEOR by enhancing efficiency, driving innovation, and informing data-driven decisions. However, many HEOR professionals are uncertain about how to effectively leverage this emerging technology. Common challenges include limited awareness of generative AI’s capabilities, organizational barriers to adoption, and navigating complex ethical and regulatory landscapes. Early adopters of generative AI have begun to overcome these hurdles, demonstrating that effective strategies exist to integrate these tools into routine practice. OVERVIEW: This panel, convened by the ISPOR Generative AI Working Group, will highlight successful approaches for deploying generative AI in HEOR. Moderated by Dr. Jag Chhatwal, the discussion will begin by examining the current opportunities and limitations of generative AI within HEOR. Dr. Turgay Ayer will discuss recent advancements in technology, and showcase practical applications and lessons learned in applying generative AI to HEOR. Ms. Ipek Stillman will discuss concrete steps to accelerate adoption, including addressing organizational hesitancy, building interdisciplinary teams, and promoting self-education to develop internal AI expertise. Dr. Rachael Fleurence will then outline the regulatory environment and discuss how health technology assessment (HTA) bodies view the use of AI in HEOR, providing guidance on aligning with decision-maker expectations and maintaining transparency and trust.By exploring case studies, practical roadmaps, and actionable guidance, attendees will learn how to overcome common implementation barriers, gain leadership support, and successfully integrate generative AI into HEOR workflows.