Artificial Intelligence-Enabled “Research Assistants” in Health Economics and Outcomes Research – Hire or Fire?

Author(s)

Moderator: Hwee-Lin Wee, PhD, Center for Health Intervention and Policy Evaluation Research (HIPER), Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
Speakers: Laura Dormer, BSc, Becaris Publishing, Royston, HRT, UK; Nikolaos Takatzoglou, PhD Candidate, MSc, Johnson and Johnson MedTech, Athens, A1, Greece; Yumi Asukai, MSc, Gilead Sciences, London, UK

Presentation Documents

ISPOR Europe AI Forum_Laura Dormer

The new generation of large language models such as ChatGPT4 has heralded an era of highly efficient artificial intelligence (AI)-enabled “research assistants”. Should researchers in the health economics and outcomes research (HEOR) field be hiring these AI-enabled research assistants? Some said that the change has arrived and is irreversible. If so, what will be the most ethical, equitable and efficient use of these AI-enabled research assistants? Will these AI-enabled research assistants put us out of job?

This session will begin with a poll of the audience to understand the current practices with regards the use of AI-enabled research assistants. This is followed by a panel discussion with speakers from publishing, academia and the industry on their experiences with the use of AI-enabled research assistants in their routine work, current good practices, future trends and potential pitfalls to watch out for. The session will end with another poll of the audience to understand what guidelines for the field would they like to see.

Conference/Value in Health Info

2023-11, ISPOR Europe 2023, Copenhagen, Denmark

Code

139

Topic

Methodological & Statistical Research

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Presentation