Enhancing patient education on Mohs surgery: the role of large language models and social media
Our article discusses the potential of large language model (LLM)-powered search engines to enhance patient education about Mohs surgery while highlighting concerns about empathy, trustworthiness and content accuracy. It emphasizes the variability in the quality of health information on social media platforms like YouTube and Instagram, where patient experiences often lack evidence-based insights. We propose a multifaceted approach to improve LLM outputs, including optimizing patient-centred language, fostering collaborations between dermatologists and LLM developers, and investing in high-quality educational media to bridge informational gaps and support patient care.
Authors
- Yasmin Nikookam (ORCID: https://orcid.org/0000-0003-0796-7233)
- Jonathan Guckian (ORCID: https://orcid.org/0000-0002-8162-1583)
- Aparna Potluru (ORCID: https://orcid.org/0000-0001-5166-8738)
Institutions
- University of Leeds (GB)
- St Thomas' Hospital (GB)
- Leeds Teaching Hospitals NHS Trust (GB)
- Leicester Royal Infirmary (GB)
- St. Thomas Hospital (CA)
Publication Details
- Journal
- Clinical and Experimental Dermatology
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1093/ced/llaf156
- Primary Topic
- Social Media in Health Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00