Session (CTI)

ISSUE: Interest in artificial intelligence (AI) for HEOR is increasing across Asia Pacific, particularly where it can support adapting global health economic models to local settings, translating technical materials, interpreting local evidence, and supporting model quality checks. However, AI use in model adaptation raises important questions for stakeholders involved in reimbursement submissions. This panel will debate which AI-supported model adaptation activities are feasible and acceptable, which remain too risky, and what validation, disclosure, and governance standards are needed before AI-assisted outputs can be used confidently in APAC reimbursement submissions. OVERVIEW: The moderator will provide a 10-minute overview of the emerging use of AI agents in HEOR modeling, interpretation, adaptation and validation across Asia Pacific, including translation, local evidence interpretation, HTA requirement mapping, model adaptation logs, and model quality control. Each speaker will present for 10-minutes each. Shilpi Swami will discuss the consultant perspective, focusing on where AI can support model adaptation workflows, reduce duplication, improve consistency, and help modelers manage complex multilingual evidence across APAC markets. Adrian Goh will provide the submitter perspective, including how AI-supported materials may be used in submission preparation and how companies may respond if payers, HTA bodies, or PSP reviewers question AI-generated evidence interpretation or assumptions. Alec Morton will discuss the academic and HTA policy perspective, including what level what human validation is needed before AI-supported model adaptations are considered acceptable and how we can expect the HEOR job market to evolve. The session will conclude with audience questions.