At the recent ISPOR annual meeting in Atlanta, one of the most highly attended sessions, “Emerging Landscape of Health Economic Evaluation in the Era of Generative AI,” captivated attendees with its forward-thinking discussion on the integration of generative AI in health economics. The session was moderated by our expert, Jagpreet Chhatwal, who is Director of the Institute for Technology Assessment at Massachusetts General Hospital, Harvard Medical School.
The distinguished panel of experts included:
- Turgay Ayer, PhD, H. Georgia Institute of Technology and Value Analytics Labs, USA
- Baris Deniz, MSc, Value Evidence and Outcomes, GSK, USA
- Dalia Dawoud, PhD, National Institute for Health and Care Excellence, UK
The session delved into the transformative potential of generative AI and large language models (LLMs) like ChatGPT in health economic modeling. Discussions highlighted how these advanced technologies can enhance various stages of model development, including conceptualization, data collection, coding, quality assessment, and reporting. The panel emphasized the need for continuous evolution in the assessment and integration of these tools to maximize their benefits while ensuring ethical use.
Jagpreet Chhatwal set the stage with an overview of generative AI’s current landscape and its intersection with health economics. Turgay Ayer discussed the academic perspective, exploring the technology’s potential and limitations. Baris Deniz provided insights from the industry on the application of generative AI in early economic modeling and HTA submissions. Dalia Dawoud concluded with an HTA perspective, offering considerations for HTA bodies in evaluating AI-driven economic models.
The session underscored the importance of ongoing dialogue among AI experts, health economists, and end-users to harness the full potential of generative AI in health economic evaluation.
