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通过人工智能创建的日本麻疹 (麻疹) 健康教育材料和文本的比较:横截面定量内容分析研究研究
Shinya Ito1, Emi Furukawa2, Tsuyoshi Okuhara2,3
1School of Nursing, Kitasato University, Sagamihara, Japan.
JMIR AI
|October 17, 2025
概括
人工智能生成的mopox (麻疹) 健康信息比传统的网页更易于理解和阅读. 将AI内容与现有材料相结合,可以改善疫情期间的公共卫生沟通.
科学领域:
- 公共卫生 公共卫生
- 卫生沟通健康沟通
- 医疗保健中的人工智能
背景情况:
- 麻疹 (麻疹) 爆发突显了日本人需要易于获取的健康教育材料的需要.
- 日本现有的在线mopox资源往往缺乏可理解性,阻碍了公共卫生沟通.
- 人工智能的进步,特别是ChatGPT-4o,为创造更清晰的健康教育内容提供了潜力.
研究的目的:
- 将日本mopox健康教育材料的可理解性,可操作性和可读性与人工智能生成的文本进行比较.
- 评估ChatGPT-4o在为公众提供可访问的健康信息方面的有效性.
主要方法:
- 一项横截面研究分析了119个日本mopox网页和30个ChatGPT-4o生成的文本.
- 内容分析使用了可打印材料的患者教育材料评估工具 (PEMAT-P) 和日本可读性测量系统 (jReadability).
- 美国医学协会杂志的基准标准评估了材料质量.
主要成果:
- 与网页 (平均2.4) 相比,人工智能生成的文本表现出明显更高的可理解性 (80%的PEMAT-P得分≥70%) 和可读性 (平均2.9).
- 传统的网页包含了更多的视觉辅助工具和实用指令,缺少人工智能生成的内容.
- 大多数网页披露了赞助和所有权,但正确的归因很少 (26.1%).
结论:
- 人工智能生成的文本为mopox健康教育提供了卓越的可理解性和可读性.
- 整合人工智能内容与传统的网络材料,包括视觉辅助和实际指导,可以增强公共卫生沟通.
- 进一步的研究对于优化将人工智能整合到公共卫生战略中,以便有效地提供危机信息,至关重要.
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