通过人工智能语言学习模型促进燃烧护理中的患者健康素养:对文本分析和简化进行研究
Medha Vallurupalli1, Nikhil D Shah2, Samhitha Yadalla3
1Keck School of Medicine, 1975 Zonal Ave, Los Angeles, CA 90033, United States; University of California, Irvine, Department of Plastic Surgery, 200 S. Manchester Avenue, Suite 650, Orange, CA 92868, United States.
概括
人工智能模型可以简化复杂的烧伤护理信息,以提高患者的健康素养. 像微软Copilot和Gemini这样的AI工具有效地降低了阅读水平,提高了患者的理解和恢复.
科学领域:
- 医学教育 医学教育
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 健康素养对于有效的患者护理至关重要,特别是在烧伤治疗中.
- 当前的患者教育材料往往超过了推的可读性水平,阻碍了患者的理解和恢复.
- 简化医疗信息对于满足国家健康素养指南至关重要.
研究的目的:
- 评估人工智能 (AI) 语言模型在简化面向患者的烧伤护理信息方面的有效性.
- 确定AI模型是否可以将医疗文本的复杂性降低到六年级到八年级的阅读水平.
- 评估人工智能在改善烧伤治疗患者的健康素养方面的潜力.
主要方法:
- 分析了15个烧伤护理文本摘录的可读性.
- 传统的可读性计算器被用作基线.
- 四个人工智能模型 (ChatGPT 4o,微软Copilot,Gemini,Meta AI) 用于评估和简化文本.
主要成果:
- 聊天GPT 4o和微软Copilot显示了与传统方法相比的初始可读性得分.
- 微软的Copilot,Gemini和MetaAI成功地将文本简化为目标6至8年级的阅读水平.
- 人工智能模型展示了使医疗信息更容易获取的潜力.
结论:
- 人工智能语言模型可以有效地简化复杂的医学文本,以改善患者的理解.
- 微软的Copilot,Gemini和MetaAI在提高烧伤护理方面的健康素养方面表现有前途.
- 临床医生监督对于确保人工智能生成的简化医疗内容的准确性和适用性至关重要.
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