Adopting artificial intelligence for health information literacy: A literature review

Abstract

Purpose – Artificial Intelligence (AI) is increasingly becoming a popular source of information, including health information. It is essential to explore the adoption of AI to achieve Health Information Literacy (HIL) and ensure that users maximise the adoption of AI to use health information. This study explores AI's adoption and use in advancing HIL. It identifies gaps, concerns, and challenges and suggests areas where AI's use could be improved.

Approach – The retrieved papers were initially assessed based on title and abstract to inclusion criteria. The full text of relevant papers was verified following the exclusion criteria. Additionally, a comprehensive assessment of the reference lists of the included papers was performed. Information was extracted from the selected articles, and a bibliometric and thematic analysis was applied for thorough examination.

Methodology – Key details about the retrieved articles, including author, publication year, study type, purpose, and key findings, were collected using a standardised format. As themes emerged, information from the publications was extracted to address the main research questions. All articles reviewed were in English and published between 2019 and 2024.

Findings – The growing adoption of AI for HIL can be accounted for by a growth of 128.13% in publications. However, concerns must be addressed as continuous AI use is guaranteed.

Originality – This study is likely the first to assess the current use of AI for HIL. The findings from the study will provide a clear landscape for investing, identifying research partners, and providing AI use in HIL and the research gap.