AUTHOR=Tilton Annemarie K. , Caplan Brian E. , Cole Brian J. 

TITLE=Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 7 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2025.1616488

DOI=10.3389/fdgth.2025.1616488

ISSN=2673-253X

ABSTRACT=Generative AI, powered by large language models, is transforming consumer health by enhancing health literacy and delivering personalized health education. However, ensuring clinical safety and effectiveness requires a robust digital health framework to address risks like misinformation and inequitable communication. This mini review examines current use cases for generative AI in consumer health education, highlights persistent challenges, and proposes a clinician-informed framework to evaluate safety, usability, and effectiveness. The RECAP model—Relevance, Evidence-based, Clarity, Adaptability, and Precision—offers a pragmatic lens to guide responsible implementation of AI in patient-facing tools. By connecting insights from past digital health innovations to the opportunities and pitfalls of large language models, this paper provides both context and direction for future development.