彻底改变患者护理:评估人工智能为全关节置换患者创造的退院教育
Handan Topan1, Gülseren Maraş Baydoğan1, Yeliz Sürme2
1Erciyes University, Faculty of Health Sciences, Surgery Nursing, Kayseri, Kayseri, 38030, Turkey.
BMC medical education
|November 25, 2025
概括
人工智能 (AI) 为全关节置换患者创建了易于理解的土耳其出院教育材料. 人工智能生成的内容显示出高度的可理解性和可操作性,改善了患者教育.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 人工智能 (AI) 显示出广泛应用的有效性.
- 对人工智能为关节整体置换 (THR) 患者提供土耳其出院教育的研究有限.
- 这项研究通过开发人工智能支持的THR排放材料来弥补这一差距.
研究的目的:
- 为讲土耳其语的全关节置换患者开发人工智能支持的退院教育材料.
- 评估人工智能生成材料的可读性,可理解性和适用性.
- 通过专家评估来评估教育内容的质量.
主要方法:
- 使用ChatGPT 4.0生成教育内容的方法学研究.
- 文献审查以确定患者的教育需求.
- 使用了可读性公式 (土耳其语和健康文献) 和专家评估 (PEMAT,GQS).
- 10名专家评估了可理解性和适用性.
主要成果:
- 人工智能生成的土耳其材料的可读性指数达到69.5,被归类为"易于理解".
- 专家评估表明,通过PEMAT的高可理解性 (80.60±9.74) 和可操作性 (77.4±19.10).
- 全球质量表 (GQS) 的平均得分为4.20±0.79,表明质量良好.
结论:
- 人工智能生成的出院教育材料对于土耳其语的关节整体置换患者来说是足够的.
- 该材料易于理解和可操作,满足患者的教育需求.
- 这种方法提供了一种可行的方法来创建可访问的患者教育资源.
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