HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information

Tahir Hameed

2025

Abstract

Online health information (OHI) encompasses a wide range of public-facing content, such as information on symptoms, diseases, medications, and treatments, while online medical information (OMI) involves more specialized and regulated content, including clinical trial data, surgical procedures, and medical research. OMI generation and dissemination is held to stringent standards for accuracy, transparency, and explainability, whereas OHI often requires information-seekers to independently evaluate credibility and relevance of the information. The rise of generative AI or large language models (LLMs) has exacerbated this disparity, as LLMs are primarily applied to public-domain OHI without sufficient safeguards, leaving users vulnerable to misinformation, bias, and non-transparent outputs. This paper presents a systematic literature survey on the usage of AI and LLMs in OHI, highlighting focus areas and critical gaps in developing a robust framework for auditing AI-generated health information. The proposed HealthAIDE Framework defines four key pillars for oversight: reliability and accuracy, trust and acceptance, security and safety, and equity and fairness. A short but systematic review of AI-driven health information literature reveals areas of stronger focus, such as accuracy and trust, and weaker focus areas, such as misuse prevention and transparency. Addressing these gaps through comprehensive audits will enable responsible evolution of AI-driven health information systems.

Paper Citation

in Harvard Style

Hameed T. (2025). HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 173-183. DOI: 10.5220/0013187100003911

in Bibtex Style

@conference{healthinf25,
author={Tahir Hameed},
title={HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={173-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013187100003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - HealthAIDE: Developing an Audit Framework for AI-Generated Online Health Information
SN - 978-989-758-731-3
AU - Hameed T.
PY - 2025
SP - 173
EP - 183
DO - 10.5220/0013187100003911
PB - SciTePress