将人工智能纳入社区糖尿病护理计划:增强包容性,多样性,公平性和可访问性
Samah Hassan1,2,3, Sarah Ibrahim4,2,5, Joanna Bielecki3,6,7
1Program for Health System and Technology Evaluation, University Health Network, Toronto, Ontario, Canada sam.hassan@mail.utoronto.ca.
BMJ open
|July 15, 2025
概括
这篇现实主义评论探讨了将人工智能 (AI) 整合到边缘化人口的社区糖尿病护理中. 它旨在开发一个程序理论,以道德,包容性AI实施,以减少健康差异.
科学领域:
- 健康 公平 卫生 公平
- 医疗保健中的人工智能
- 基于社区的干预措施
背景情况:
- 边缘化人口面临不成比例的严重糖尿病并发症,由于系统不平等和有限的护理机会.
- 社区计划改善了获得医疗服务的机会,但往往缺乏与主流医疗服务的整合,导致医疗服务分散.
- 人工智能 (AI) 在服务不足的社区提供了增强可访问性和个性化的潜力,但其整合需要仔细考虑社会伦理方面的问题.
研究的目的:
- 检查人工智能应用在哪些条件下可以有效地集成到社区为边缘化人口提供糖尿病护理的条件.
- 在这种情况下,开发一个指导道德,包容和有效的人工智能实施的程序理论.
- 确保人工智能驱动的创新解决健康差异,促进文化敏感,可访问的护理.
主要方法:
- 按照PRISMA扩展指南进行现实的审查.
- 在多个数据库 (MEDLINE,Embase,CINAHL,Cochrane,Google Scholar,Scopus) 和灰色文献中进行系统搜索.
- 数据合成使用现实的逻辑来分析上下文,机制和结果.
主要成果:
- 该部分在审查完成后将被填写.
结论:
- 该部分在审查完成后将被填写.
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