患者对人工智能生成的移植信息的看法:比较ChatGPT与国家脏基金会
Hwarang Stephen Han1, Jihye Lee2
1Division of Nephrology, Department of Internal Medicine, Dell Medical School at The University of Texas at Austin, Austin, TX.
Kidney medicine
|March 2, 2026
概括
患有慢性病 (CKD) 的患者更喜欢生成人工智能 (AI) 响应,而不是传统的移植信息资源. 人工智能表现出更高的感知质量,同情心和学习成果,提高了患者的教育和参与度.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 生成型人工智能 (AI) 有潜力提高患者对诸如移植等复杂医疗主题的理解.
- 关于慢性病 (CKD) 患者如何感知人工智能生成的健康信息的研究有限.
- 这项研究通过评估患者对人工智能反应的看法,与已建立的卫生资源相比,来弥补这一差距.
研究的目的:
- 评估患者对人工智能生成的移植查询响应的看法.
- 将人工智能生成的信息与来自可信的健康资源 (国家脏基金会) 的内容进行比较.
- 评估患者的偏好,信息质量,同情心和学习成果.
主要方法:
- 在美国,对216名患有CKD的成年人进行了一项横截面在线调查.
- 参与者比较了来自ChatGPT (GPT-4o) 和国家脏基金会 (NKF) 的脏移植问题的答案,没有归因来源.
- 混合效应模型被用来分析对整体偏好,信息质量,同理心和学习成果的看法.
主要成果:
- 绝大多数参与者更喜欢聊天GPT产生的反应而不是NKF (81.3%的比较,P<0.001).
- 在信息质量,同情心和感知学习成果方面,聊天GPT的反应被评为显著更高 (所有P<0.001).
- 这些发现表明,人工智能有潜力提高患者对移植信息的理解和参与.
结论:
- 生成型人工智能平台可以以以患者为中心的方式呈现移植信息,从而有可能改善教育和参与.
- 虽然有希望,但人工智能在医疗保健中的整合需要由于其早期发展阶段,对人工智能进行仔细的监督.
- 需要进行进一步的研究,以探索影响患者偏好的特定AI特征,并确保跨多元患者群体的代表性.
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