March 3, 2026Open Access

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Key Points

Health information adoption is influenced by perceived usefulness and enjoyment of generative artificial intelligence.
Survey results indicate consistent adoption patterns across multiple European countries, highlighting similarities.
Cross-national analysis reveals a need for improved digital access and protective measures for vulnerable users.
Effective communication strategies focusing on convenience may increase generative AI's adoption in health information.

Abstract

Generative AI use for health information is currently driven by early adopters-those who find it useful, easy to integrate, enjoyable, and have the necessary skills and infrastructure to do so. Cross-national consistency suggests a shared adoption pattern across Europe. To promote equitable adoption, communication efforts should focus on usefulness, convenience, and enjoyment, while ensuring digital access and safeguards for vulnerable users.

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Authors

Jörg Matthes

University of Vienna

Anne Reinhardt

Ludwig-Maximilians-Universität München

Selma Hodzic

University of Vienna

Journals

SHILAP Revista de lepidopterología

Journal of Medical Internet Research

Actions

Institutions

Université Paris Cité

Ludwig-Maximilians-Universität München

Aarhus University

References and Citations

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Building similarity graph...

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Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

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