推进全球护理政策:人工智能驱动的医疗素养创新 移民家庭工人
Pak Leng Cheong1, Kazumi Kubota2,3,4
1Education Department, Kiang Wu Nursing College of Macau, Macau, China.
International nursing review
|January 21, 2026
概括
移民家庭工人 (MDWs) 可以通过共同设计的数字工具和文化响应干预来提高健康素养. 政策变化对于公平获得医疗保健和数字化包容至关重要.
科学领域:
- 全球健康 全球健康
- 卫生识字 卫生识字
- 移民健康 移民健康
- 数字健康 公平数字健康 公平
背景情况:
- 移民家庭佣工 (MDWs) 面临着医疗保健的重大障碍,包括语言,不稳定的工作,隔离,歧视和数字排斥.
- 这些因素阻碍了获得基本健康信息和预防护理服务的机会.
研究的目的:
- 提出以证据为基础的战略,促进全球多年多病劳动者健康素养平等.
- 概述以护理为主导的政策方向,以实现MDW健康素养的可持续改善.
主要方法:
- 从范围审查,干预研究,健康素养调查,人工智能文献和定性研究中综合证据.
- 分析重点是MDWs的技术使用和同行健康信息共享.
主要成果:
- 移动健康应用程序,社交媒体和人工智能聊天机器人,与MDW共同设计,可以提供可访问的健康教育.
- 社区卫生工作者对于支持这些数字干预至关重要.
- 政策行动必须解决数字沟,将健康素养纳入指导,确保带薪病假,并提供专业的口译.
结论:
- 文化响应,数字支持的干预措施可以减少MDWs的健康素养差异.
- 可持续的变革需要跨部门的合作 (卫生,劳工,教育,技术).
- 护士应该领导共同设计,采取普遍的预防措施,并使用反教方法. 政策框架必须规定健康素养和数字化包容的标准和资源.
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