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Health Economic Publication Digest: A Taxonomy of Generative AI in HEOR: Concepts, Emerging Applications, and Advanced Tools - An ISPOR Working Group Report
MTRC shares the most relevant and impactful publications in the field of market access and HEOR for medical technologies in Europe through its Health Economic Publications Digest.
In a recent publication, Fleurence et al. introduced a structured taxonomy of generative AI in health economics and outcomes research (HEOR). The authors explore foundational concepts and map emerging applications across domains such as economic modeling, real-world evidence, and dossier development. Key methodological tools - including prompt engineering, retrieval-augmented generation, domain-specific models, and model fine-tuning - are discussed as means to enhance performance and reliability. While the transformative potential of generative AI in HEOR is recognized, the study highlights ongoing challenges around bias, reproducibility, and practical implementation. The report calls for deeper integration of HEOR expertise into AI development to leverage these technologies in health decision-making responsibly.
Access the full-text article here.