为患者教育开发人工智能生成的故事书:护理教育者和临床医生的实用框架
Yasemin Boy1,2, Funda Çam3
1Department of Nursing, Faculty of Health Sciences, Tokat Gaziosmanpaşa University, Tokat, Türkiye.
Computers, informatics, nursing : CIN
|January 26, 2026
概括
人工智能 (AI) 可以为慢性疾病创建个性化的患者教育故事书. 专家合作对于准确性至关重要,确保有效的患者自我管理和参与.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 大型语言模型和文本到图像技术为患者教育提供了新的途径.
- 需要个性化的数字工具来支持患有慢性疾病的患者.
研究的目的:
- 建立一个框架,为慢性病患者创建多式联络数字故事书.
- 结合叙事文本,视觉和音频叙述,以提高患者的理解.
主要方法:
- 定性内容开发设计与代的专家反.
- 使用ChatGPT-5进行提示工程,并使用Gemini 2.5 Pro进行故事书生成.
- 开发了关于心力衰竭,糖尿病和慢性阻塞性肺病的故事书.
主要成果:
- 人工智能可以生成患者教育材料,但一般提示需要改进.
- 由于技术上的局限性,包括医学上不准确的图像,需要专家纠正.
- 一个协作的人工智能-人类方法产生高质量,可访问和引人入胜的教育内容.
结论:
- 人工智能是医疗保健专业人员在患者教育中的一个有价值的支持工具.
- 该框架加强了为慢性疾病自我管理提供以患者为中心的教育.
- 人工智能辅助的故事书促进患者的理解,参与和改善健康结果.
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