人工智能 (AI) 在初级医疗保健 (PHC) 中实施的机遇,挑战和要求:系统审查
Farzaneh Yousefi1,2, Reza Dehnavieh3,4, Maude Laberge5,6
1Department of Management, Policy and Health Economics, Faculty of Medical Information and Management, Candidate in Health Services Management, Kerman University of Medical Sciences, Kerman, Iran.
BMC primary care
|June 9, 2025
概括
人工智能 (AI) 在初级卫生保健 (PHC) 中提供了机遇和挑战. 成功的AI整合需要强有力的管理,资源生成和合作,以实现公平,高效的系统.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 主要医疗保健系统主要是医疗保健系统.
背景情况:
- 人工智能 (AI) 正在改变初级医疗保健 (PHC),提供了机遇和复杂性.
- 了解AI在PHC的实施格局对于其有效整合至关重要.
研究的目的:
- 系统地审查和综合关于在PHC实施AI的机遇,挑战和要求的证据.
- 通过使用初级保健评估工具 (PCET) 框架,评估AI在医疗保健中的整合.
主要方法:
- 按照柯克伦协作指南进行了系统审查.
- 在八个数据库 (2000-2024) 中使用MeSH术语和SPIDER框架进行了搜索.
- 基于PCET模型的专题框架分析被用来合成来自109篇纳入文章的数据.
主要成果:
- 人工智能集成为增强综合服务提供提供了重大机会,包括改进诊断,查和早期疾病预测.
- 人工智能实施的关键挑战集中在管理和资源生成上,引用数据安全,隐私,技术性能和可访问性问题.
- 成功的AI整合需要强有力的管理,战略性资源投资和协作共同开发.
结论:
- 协调,涉及管理,资源生成和融资的多维方法对于在PHC中成功整合AI至关重要.
- 解决知识差距,理解跨维度互动,促进利益相关者的合作对于一个公平有效的AI驱动的PHC系统至关重要.
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