应用创新方法开发健康教育 文字信息 癌症幸存者
Amanda Chriswell1, Meghan B Skiba1,2, Terry A Badger1,2
1Nursing and Health Science Division, College of Nursing, University of Arizona, Tucson, AZ, USA.
概括
生成型人工智能 (AI) 可以为癌症幸存者和护理人员创建健康促进内容. 人类专家对于完善人工智能生成的信息至关重要,以确保准确性和适当性.
科学领域:
- 促进健康 促进健康
- 数字健康数字健康
- 行为科学 行为科学
背景情况:
- 饮食,体力活动和睡眠等相互关联的行为会影响癌症幸存者和护理人员的健康.
- 健康促进干预对于改善这些人群的结果至关重要.
研究的目的:
- 开发健康促进短信服务 (SMS) 内容,重点是饮食,体育活动和睡眠卫生.
- 为癌症幸存者和护理人员创造这种内容,探索使用生成性人工智能 (AI).
主要方法:
- 使用生成性AI (ChatGPT 3.5) 起草英语SMS消息.
- 整合了人类专家的审查和改进,以确保消息的准确性和文化适当性.
- 在西班牙语版本中使用人工智能翻译工具与母语人士一起使用.
主要成果:
- 生成型人工智能在生成初始健康教育短信内容方面被证明是有效的.
- 人类监督对于确保内容准确性和语言适用性至关重要.
- 实现了双语 (英语/西班牙语) SMS 内容的成功开发.
结论:
- 人工智能是开发健康教育短信内容的宝贵工具.
- 对人工智能驱动的健康干预内容创建的人类专业知识的关键需求.
- 建议将人工智能纳入未来的SMS干预开发.
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