为加拿大偏远地区和土著人口部署人工智能驱动的医疗保健服务的五个步骤。

IF 2.9 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
DIGITAL HEALTH Pub Date : 2025-04-13 eCollection Date: 2025-01-01 DOI:10.1177/20552076251334422
Amal Khan, Sandro Galea, Ivar Mendez
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引用次数: 0

摘要

将人工智能(AI)整合到医疗保健服务中具有变革性潜力,特别是对于偏远和服务不足的人群。在加拿大萨斯喀彻温省北部等农村和偏远地区,土著社区面临着糖尿病等慢性病的高发和获得医疗保健的机会有限,人工智能驱动的虚拟医疗可以弥合严重的差距。然而,一种普遍的办法不能满足不同人口的独特需要。本通信概述了一个五步框架,以指导人工智能促进的医疗保健服务,以适应社区特定的人口统计和临床优先事项。步骤包括建立全面的社区概况,评估数字化准备情况,确定医疗保健需求的优先顺序,部署具有文化敏感性的虚拟护理计划,以及使用人工智能分析评估结果。通过以系统和包容的方式利用人工智能,该方法解决了健康的社会决定因素,改善了公平性,提高了医疗保健质量,提供了一个可扩展的模型,可以在地理和人口不同的环境中改善健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Five steps for the deployment of artificial intelligence-driven healthcare delivery for remote and indigenous populations in Canada.

The integration of artificial intelligence (AI) into healthcare delivery offers transformative potential, especially for remote and underserved populations. In rural and remote regions like northern Saskatchewan, Canada, where Indigenous communities face elevated rates of chronic conditions such as diabetes and limited access to healthcare, AI-driven virtual care can bridge critical gaps. However, a universal approach falls short of addressing the unique needs of diverse populations. This communication outlines a five-step framework to guide AI-facilitated healthcare delivery tailored to community-specific demographics and clinical priorities. Steps include building comprehensive community profiles, assessing digital readiness, prioritizing healthcare needs, deploying culturally sensitive virtual care programs, and evaluating outcomes with AI-powered analytics. By leveraging AI in a systematic and inclusive manner, this approach addresses social determinants of health, improves equity, and enhances healthcare quality, offering a scalable model to improve health outcomes in geographically and demographically diverse settings.

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来源期刊
DIGITAL HEALTH
DIGITAL HEALTH Multiple-
CiteScore
2.90
自引率
7.70%
发文量
302
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