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Enhancing patient education with ChatGPT: Critical insights and future directions

2024·4 Zitationen·Indian Journal of AnaesthesiaOpen Access
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4

Zitationen

3

Autoren

2024

Jahr

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.

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Artificial Intelligence in Healthcare and EducationPatient-Provider Communication in HealthcareClinical Reasoning and Diagnostic Skills
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