在瘤学中利用人工智能进行数字症状管理:CRCWeb的发展
Darren Liu1,2,3, Yufen Lin2,4, Runze Yan2,3
1Department of Computer Science, Laney Graduate School, Emory University, Atlanta, GA, United States.
JMIR cancer
|June 16, 2025
概括
一个新的数字平台CRCWeb,改善了弱势患者获得结直肠癌 (CRC) 信息的机会. 使用人工智能,CRCWeb使复杂的健康内容可访问,增加了那些健康素养有限的人的参与度.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 卫生公平性健康公平性
- 医疗保健中的人工智能
背景情况:
- 数字健康干预承诺可扩展的医疗保健,但面临着贫困人口的障碍,包括有限的健康素养和语言问题.
- 患有结肠直肠癌 (CRC) 的患者经常因症状和阅读水平不匹配而难以处理复杂的教育材料.
- 处于不利地位的CRC患者和护理人员需要可访问的症状管理资源.
研究的目的:
- 开发和评估CRCWeb的可行性,CRCWeb是一个数字平台,旨在改善弱势CRC患者和护理人员获得教育资源的机会.
- 为那些健康素养有限或收入低的个人解决数字健康中的参与性挑战.
- 利用生成性人工智能 (AI) 来创建可访问的健康内容.
主要方法:
- CRCWeb是使用以利益相关者为中心的参与式设计方法开发的,通过与患者,护理人员和瘤学专家进行半结构化访谈提供信息.
- 关键的设计原则包括用户友好的导航,多媒体集成,清晰的内容,增强的可访问性和可扩展性.
- 生成型人工智能工具 (例如,ChatGPT,Pictory) 将复杂的指南转化为CRCWeb的多媒体内容.
主要成果:
- 利益相关者的反证实了用户对CRCWeb的高度满意度 (平均评分3.98/5).
- 处于不利地位的参与者,健康素养有限或收入低,参与度显著高,登录频率高出2.52倍.
- 人工智能驱动的多媒体内容有效地翻译了复杂的医疗保健信息.
结论:
- CRCWeb的结构化开发表明了人工智能驱动的多媒体干预措施的潜力,以克服弱势CRC患者和护理人员的医疗保健可访问性障碍.
- 像CRCWeb这样的数字创新可以显著提高健康公平性和患者教育.
- 参与式设计对于创建有效和可访问的数字健康工具至关重要.
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