Artificial intelligence in patient education: evaluating large language models for understanding rheumatology literature
ChatGPT effectively lowered the reading complexity of specialized rheumatology literature, making it more accessible than the original publications. However, the achieved 10th-grade reading level still exceeds the recommended sixth-grade level for patient education materials. While LLMs are a promising tool, their output may require further refinement or expert review to meet optimal health literacy standards and ensure equitable patient understanding in rheumatology.
Authors
- Máximo Alejandro García-Flores (ORCID: https://orcid.org/0000-0002-5028-9178)
- Jorge Ayón-Aguilar (ORCID: https://orcid.org/0000-0001-9704-8032)
- Juan Carlos Solís-Poblano (ORCID: https://orcid.org/0000-0003-0389-1825)
- Pamela Munguía‐Realpozo (ORCID: https://orcid.org/0000-0002-6967-7939)
- Ivet Etchegaray‐Morales (ORCID: https://orcid.org/0000-0002-5857-4299)
- Claudia Mendoza-Pinto
- Edith Ramírez-Lara
Institutions
- Mexican Social Security Institute (MX)
- Benemérita Universidad Autónoma de Puebla (MX)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-10-15
- DOI
- https://doi.org/10.3389/fdgth.2025.1623399
- Citations
- 1
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 2.17