Large language models in patient education: a scoping review of applications in medicine
Koç University · Mount Sinai Health System · +2 more institutions
Abstract
Large Language Models (LLMs) are sophisticated algorithms that analyze and generate vast amounts of textual data, mimicking human communication. Notable LLMs include GPT-4o by Open AI, Claude 3.5 Sonnet by Anthropic, and Gemini by Google. This scoping review aims to synthesize the current applications and potential uses of LLMs in patient education and engagement.
Following the PRISMA-ScR checklist and methodologies by Arksey, O'Malley, and Levac, we conducted a scoping review. We searched PubMed in June 2024, using keywords and MeSH terms related to LLMs and patient education. Two authors conducted the initial screening, and discrepancies were resolved by consensus. We employed thematic analysis to address our primary research question.
Citation impact
- FWCI
- 19.35
- Percentile
- 100%
- References
- 210
Authors
4Topics & keywords
- Medical education
- Medicine
- Computer science
- Quality Education