开发和验证人工智能辅助的出院教育材料为接受冠状动脉旁路移植的患者:一项方法研究
Inci Mercan Annak1, Dilara Sahan2
1Department of Surgical Nursing, Faculty of Nursing, Gazi University, Ankara, Türkiye.
Computers, informatics, nursing : CIN
|January 12, 2026
概括
人工智能 (AI) 增强的冠状动脉旁路移植 (CABG) 排放教育材料得到了验证. 专家们发现,人工智能生成的材料对患者的理解和坚持是有效的,这表明人工智能是有效的.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 外科教育的外科教育
背景情况:
- 有效的患者教育对于冠状动脉旁路移植 (CABG) 手术后恢复至关重要.
- 传统的排放材料可能缺乏个性化和参与度.
- 整合人工智能 (AI) 为增强患者教育提供了一种新的方法.
研究的目的:
- 为了验证人工智能辅助出院教育材料对CABG手术患者.
- 评估人工智能生成材料的内容有效性,可读性,可理解性和可操作性.
- 探索人工智能在改善手术患者教育方面的战略作用.
主要方法:
- 为CABG患者的出院教育材料是使用共识生成预训练变压器 (GPT) 开发的.
- 一个由12名专家组成的小组评估了材料的内容有效性,可读性,可理解性和可操作性.
- 使用Ateşman和Bezirci-Yilmaz公式评估可读性;使用患者教育材料评估工具测量可理解性和可操作性.
主要成果:
- 人工智能辅助的材料实现了0.88.8的高内容有效率比率.
- 可读性得分表明,该材料易于阅读 (Ateşman:76.5),但仍处于学术水平 (Bezirci-Yilmaz:18.52).
- 可理解性 (73.24) 和可操作性 (69.04) 的评分表明适度的有效性.
结论:
- 人工智能辅助出院教育材料对CABG患者来说是有前途的.
- 这项研究强调了AI在提高手术患者教育效率,可访问性和参与度方面的潜力.
- 这些发现为将人工智能纳入排放规划和未来研究提供了基础.
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