Künstliche Intelligenz und Gesundheitskompetenz: Möglichkeiten und Grenzen öffentlich zugänglicher KI-Sprachmodelle

Background: With the use of artificial intelligence (AI), there is growing interest in AI systems such as ChatGPT for communicating health information. AI has the potential to improve public health literacy by serving as a source of information. At the same time, the question arises as to the possibilities and limitations of the use of AI, especially with regard to the quality and reliability of the information provided. Methodology: The study is based on a literature analysis on the topic of health literacy and AI. PubMed and AI-based literature analysis programmes were used for the search (as of September 2024). A total of 136 hits were identified for 2022-2024, of which 25 articles were included in the analysis after reviewing abstracts and full texts and evaluated with regard to acceptance, information quality and barriers. Results: The analysis showed that AI systems are generally able to convey health knowledge by providing easy-to-understand answers to health questions. However, there are also concerns about accuracy and the amplification of misinformation. It was emphasised that the public should be made more aware of the limitations of AI and the importance of professional advice. Conclusion: ChatGPT and similar AI systems offer opportunities to improve health literacy, but require more critical media skills. Future research should increasingly focus on target group-specific and ethical aspects.

Authors

Publication Details

Journal
Monitor Versorgungsforschung
Published
2025-04-02
DOI
https://doi.org/10.24945/mvf.02.25.1866-0533.2707
Primary Topic
Digital Innovation in Industries
Type
article
Field-Weighted Citation Impact
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article

Künstliche Intelligenz und Gesundheitskompetenz: Möglichkeiten und Grenzen öffentlich zugänglicher KI-Sprachmodelle

Doreen Müller, Michael Erhart, Viviane Scherenberg
Monitor Versorgungsforschung
Digital Innovation in Industries
article

Künstliche Intelligenz und Gesundheitskompetenz: Möglichkeiten und Grenzen öffentlich zugänglicher KI-Sprachmodelle

Doreen Müller, Michael Erhart, Viviane Scherenberg
article en

Abstract

Background: With the use of artificial intelligence (AI), there is growing interest in AI systems such as ChatGPT for communicating health information. AI has the potential to improve public health literacy by serving as a source of information. At the same time, the question arises as to the possibilities and limitations of the use of AI, especially with regard to the quality and reliability of the information provided. Methodology: The study is based on a literature analysis on the topic of health literacy and AI. PubMed and AI-based literature analysis programmes were used for the search (as of September 2024). A total of 136 hits were identified for 2022-2024, of which 25 articles were included in the analysis after reviewing abstracts and full texts and evaluated with regard to acceptance, information quality and barriers. Results: The analysis showed that AI systems are generally able to convey health knowledge by providing easy-to-understand answers to health questions. However, there are also concerns about accuracy and the amplification of misinformation. It was emphasised that the public should be made more aware of the limitations of AI and the importance of professional advice. Conclusion: ChatGPT and similar AI systems offer opportunities to improve health literacy, but require more critical media skills. Future research should increasingly focus on target group-specific and ethical aspects.

Monitor VersorgungsforschungVol. 2025(02)
Openalex Percentile: Top 91%
Digital Innovation in Industries
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Künstliche Intelligenz und Gesundheitskompetenz: Möglichkeiten und Grenzen öffentlich zugänglicher KI-Sprachmodelle — Doreen Müller, Michael Erhart, et al. · Monitor Versorgungsforschung (2025) | TGRS Research Map | TGRS