Health Economics and Outcomes Research in the New Era of Artificial Intelligence: Catch Me If You Can

Jaime Caro, MCDM, Jagpreet Chhatwal, PhD, Rachael L. Fleurence, PhD Convergence Chronicles

Abstract

Although artificial intelligence (AI) has been part of the health economics and outcomes research (HEOR) toolkit for years in the form of predictive models and machine learning algorithms, the recent surge of generative AI (GenAI) has created a new wave of excitement. GenAI is moving at lightning speed. In the time it takes to conceive, draft, and submit an article on use of AI in HEOR, the underlying AI tools will have already evolved or been replaced. For researchers in our field, this precipitous pace presents exhilarating opportunities but also many challenges and concerns. The creation of health economic models is being reimagined, evidence synthesis is being automated, and many other tasks are being reshaped—often before we have had time to understand and validate the latest breakthrough.

Identifier Metadata

Identifier	110.0647/CON.2026.00619
Canonical	mdoi:110.0647/CON.2026.00619
Resolver URL	https://mdoi.org/110.0647/CON.2026.00619
Resource URL	Open resource
Document URL	Open document
Content Type	Article
Authors	Jaime Caro, MCDM, Jagpreet Chhatwal, PhD, Rachael L. Fleurence, PhD
Depositor	Convergence Chronicles Organisation
Prefix	110.0647
Registered	July 16, 2026
Updated	July 16, 2026
Status	Active
Visibility	Public

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Health Economics and Outcomes Research in the New Era of Artificial Intelligence: Catch Me If You Can

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