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Updated: Jun 14, 2025

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在印度和美国需要基于人工智能的糖尿病护理管理系统
Veena Mayya1,2, Rajesh N V P S Kandala3, Varadraj Gurupur1
1Center for Decision Support Systems and Informatics, School of Global Health Management and Informatics, University of Central Florida, Orlando, Florida, USA.
Health services research and managerial epidemiology
|August 30, 2024
概括
人工智能可以增强糖尿病管理. 印度和美国的比较揭示了诸如电子健康记录质量和文化因素等挑战,这些因素阻碍了AI在糖尿病护理中的整合.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 医疗保健中的人工智能
背景情况:
- 糖尿病是一种全球性慢性疾病,具有多样化的管理策略.
- 计算领域的进步为糖尿病护理提供了新的技术工具.
- 医疗保健系统,文化因素和数据隐私影响糖尿病管理方法.
研究的目的:
- 分析和比较印度和美国的糖尿病管理策略.
- 调查人工智能在不同医疗保健环境中的糖尿病护理中的作用和挑战.
主要方法:
- 对现有文献和数据进行比较分析.
- 检查包括医疗保健系统结构,电子健康记录 (EHR),文化考虑,数据隐私和负担能力在内的因素.
主要成果:
- 印度和美国在糖尿病管理方面存在显著差异.
- 电子健康记录的质量和文化因素被认为是实施高效,人工智能驱动的糖尿病管理系统的主要障碍.
- 医疗保健系统的变化影响了糖尿病护理技术的采用.
结论:
- 极其需要利用人工智能来改善糖尿病治疗.
- 应对EHR质量和文化适应方面的挑战对于在糖尿病管理中成功实施AI至关重要.
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