A comparative study of AI chatbots and traditional medical sources for hysterectomy patient education: Assessing professionalism, readability, and patient education quality

This study compared professionalism, readability, and patient education quality between artificial intelligence (AI)-generated responses (ChatGPT and Gemini) and the American Society of Anesthesiologists (ASA) website for 8 frequently asked questions. To compare the differences in professionalism, readability, and patient education quality between AI (ChatGPT and Gemini) and the ASA website when answering 8 common hysterectomy questions, and to assess whether AI-generated content can serve as a reliable source of patient education for hysterectomy. Blinded experts evaluated professionalism, while 6 readability indices and the patient education materials assessment tool were used to assess content quality. Statistical comparisons were performed with P <.05 considered significant. ChatGPT and Gemini demonstrated significantly higher professionalism scores than the ASA website (P <.05); however, their readability was lower (P <.05). There were no significant differences in professionalism or readability between the ChatGPT and Gemini (P >.05). Although AI responses align with clinical guidelines, their low readability poses a usability concern. AI-driven content provides professional and accurate patient education on hysterectomy. However, further refinements are required to improve accessibility without compromising quality.

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Publication Details

Journal
Medicine
Published
2025-09-12
DOI
https://doi.org/10.1097/md.0000000000044403
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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0.00
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article

A comparative study of AI chatbots and traditional medical sources for hysterectomy patient education: Assessing professionalism, readability, and patient education quality

Xiangming Che, Yang Wang, Guanghua Zhou
Medicine
Artificial Intelligence in Healthcare and Education
article

A comparative study of AI chatbots and traditional medical sources for hysterectomy patient education: Assessing professionalism, readability, and patient education quality

Xiangming Che, Yang Wang, Guanghua Zhou
article en

Abstract

This study compared professionalism, readability, and patient education quality between artificial intelligence (AI)-generated responses (ChatGPT and Gemini) and the American Society of Anesthesiologists (ASA) website for 8 frequently asked questions. To compare the differences in professionalism, readability, and patient education quality between AI (ChatGPT and Gemini) and the ASA website when answering 8 common hysterectomy questions, and to assess whether AI-generated content can serve as a reliable source of patient education for hysterectomy. Blinded experts evaluated professionalism, while 6 readability indices and the patient education materials assessment tool were used to assess content quality. Statistical comparisons were performed with P <.05 considered significant. ChatGPT and Gemini demonstrated significantly higher professionalism scores than the ASA website (P <.05); however, their readability was lower (P <.05). There were no significant differences in professionalism or readability between the ChatGPT and Gemini (P >.05). Although AI responses align with clinical guidelines, their low readability poses a usability concern. AI-driven content provides professional and accurate patient education on hysterectomy. However, further refinements are required to improve accessibility without compromising quality.

MedicineVol. 104(37)
Capital Medical University (CN), Beijing Obstetrics and Gynecology Hospital (CN)
Openalex Percentile: Top 82%
Artificial Intelligence in Healthcare and Education
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A comparative study of AI chatbots and traditional medical sources for hysterectomy patient education: Assessing professionalism, readability, and patient education quality — Xiangming Che, Yang Wang, et al. · Medicine (2025) | TGRS Research Map | TGRS