Enhancing patient education with ChatGPT: Critical insights and future directions
Dear Editor, We are writing in response to the recently published paper by Gondode et al.[1] This study offers a timely analysis of artificial intelligence (AI)- generated patient education materials, comparing them with traditional patient information leaflets (PILs) from reputable sources. A notable finding is the concern regarding the readability of AI-generated materials. Traditional PILs scored higher in readability metrics, suggesting they may be more accessible to a broader audience, which is crucial for effective chronic pain management. In addition, the sentiment analysis showed that AI-generated texts have a more positive emotional tone, which can enhance patient engagement; it is essential to maintain accuracy and avoid downplaying the seriousness of medical conditions. Both traditional and AI-generated materials received high ratings for accuracy and completeness, indicating AI’s potential to produce reliable patient education materials.[2] However, direct patient feedback should be incorporated in future studies to validate these findings further. The study underscores the need to balance innovation with evidence-based healthcare practice.[3] The integration of AI in patient education holds great promise, but it must be approached with caution and a commitment to high standards. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.
Authors
- Sultan Alam (ORCID: https://orcid.org/0000-0003-2711-4860)
- Shahab Saquib Sohail (ORCID: https://orcid.org/0000-0002-5944-7371)
- Javed Sheikh (ORCID: https://orcid.org/0000-0002-5108-6663)
Institutions
- Barkatullah University (IN)
Publication Details
- Journal
- Indian Journal of Anaesthesia
- Published
- 2024-12-01
- DOI
- https://doi.org/10.4103/ija.ija_784_24
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.48