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.

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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
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article

Enhancing patient education with ChatGPT: Critical insights and future directions

Sultan Alam, Shahab Saquib Sohail, Javed Sheikh
4 citations
Indian Journal of Anaesthesia
Artificial Intelligence in Healthcare and Education
0.48
article

Enhancing patient education with ChatGPT: Critical insights and future directions

Sultan Alam, Shahab Saquib Sohail, Javed Sheikh
article en
4 citations

Abstract

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.

Indian Journal of AnaesthesiaVol. 68(12)
Barkatullah University (IN)
Openalex Percentile: Top 31%
Artificial Intelligence in Healthcare and Education
0.48
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Enhancing patient education with ChatGPT: Critical insights and future directions — Sultan Alam, Shahab Saquib Sohail, et al. · Indian Journal of Anaesthesia (2024) | TGRS Research Map | TGRS