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生成型的人工智能能提高健康素养吗? 关于侧侧脊髓炎?

Michael J Miskiewicz¹, Christian Leonardo¹, Salvatore Capotosto¹

¹Department of Orthopaedic Surgery, Stony Brook University, Stony Brook, USA.

|July 1, 2024

概括

生成型人工智能 (AI) 可以有效地重写侧面表炎的患者教育材料 (PEM),以满足推的健康素养指南. 这种由人工智能驱动的方法显著提高了可读性,以便更好地理解患者.

科学领域:

医学写作医学写作
卫生识字卫生识字
医疗保健中的人工智能

背景情况:

缺乏健康素养与负面的健康结果有关.
疾病控制和预防中心 (CDC) 和国家卫生研究院 (NIH) 建议患者教育材料 (PEM) 达到八年级或更低的阅读水平.
有效的患者教育对于管理诸如侧面尾炎等疾病至关重要.

研究的目的:

评估生成人工智能 (AI) 编辑骨科患者教育材料 (PEMs) 的能力.
确定AI是否可以重写PEM以满足疾病控制和预防中心 (CDC) 和国家卫生研究院 (NIH) 的可读性准则.
评估人工智能编辑对PEMs关于侧侧上腺炎的阅读水平和词数的影响.

主要方法:

侧侧上炎的患者教育材料 (PEMs) 来自排名第一的骨科机构收集.
使用ChatGPT (4.0版本) 来重写PEM以符合CDC和NIH指南.
原始和人工智能编辑的PEM的可读性得分使用对联t测试进行了比较.

主要成果:

人工智能编辑导致PEM的阅读等级水平显著降低3.70 (p<0.001).
此外,PEM的单词数量也显著减少,平均为346.72个单词 (p<0.001).
重写的材料符合患者教育推的可读性标准.

结论:

生成型人工智能显示出强大的修改患者教育材料 (PEMs) 的能力,以与CDC和NIH健康素养建议保持一致.
医疗保健提供者,包括医院管理人员和整形外科医生,可以利用AI工具来提高患者信息的清晰度和可访问性.
利用人工智能编辑PEM提供了一个有希望的策略,以改善患者对其健康状况的理解和参与.

关键词:

聊天聊天聊天提高健康素养提高健康素养侧面表皮质炎侧面表皮质炎整形外科手术整形外科手术患者教育材料患者教育材料

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