Session (CTI)

Artificial intelligence (AI) is rapidly transforming how health economics and outcomes research (HEOR) is conducted across the pharmaceutical industry. As the Joint Clinical Assessment (JCA) takes place across Europe under the EU Health Technology Assessment (HTA) Regulation, the potential for AI use has attracted interest among many HEOR researchers. From accelerating literature reviews and predicting PICO scenarios to streamlining data extraction and evidence synthesis, AI has the potential to improve efficiency while reducing manual workload. As AI adoption continues to expand, organizations must also address key considerations regarding transparency, validation, reproducibility, data privacy, and regulatory acceptance. Understanding where AI can add value and where human expertise is needed is essential for HEOR professionals, especially for students and early-career professionals entering the field. This session invites students and young professionals to explore current and emerging applications of generative AI throughout the HEOR workflow, with a focus on evidence generation for Joint Clinical Assessments. Participants will hear perspectives from experienced professionals across academia, industry, and consulting on practical use cases, opportunities to improve efficiency, current limitations, governance considerations, and the evolving skills needed for the future HEOR workforce. The session will conclude with an interactive discussion, giving attendees the opportunity to engage directly with panelists, ask questions, and gain practical insights into how AI is reshaping evidence generation, market access, and career development in HEOR. This session is brought to you by the ISPOR Student Network.