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从医疗保健工作者的角度来看,人工智能在糖尿病管理中的障碍和促进因素:范围审查
Giovanni Cangelosi1, Andrea Conti2, Gabriele Caggianelli3
1School of Pharmacy, Experimental Medicine and "Stefani Scuri" Public Health Department, University of Camerino, 62032 Camerino, Italy.
Medicina (Kaunas, Lithuania)
|August 28, 2025
概括
医疗保健专业人士认为人工智能 (AI) 在糖尿病管理中的成本和培训是障碍. 然而,提高效率和组织支持促进了人工智能的采用,这表明自下而上的方法是成功实施的关键.
科学领域:
- 数字健康
- 医疗信息学
- 公共卫生
背景情况:
- 糖尿病是一种严重的全球性健康问题,患病率正在上升.
- 人工智能有助于改善糖尿病管理和改善患者的治疗结果.
研究的目的:
- 调查医疗保健专业人员对人工智能在糖尿病护理中的采用障碍和促进因素.
- 使用自下而上的方法为基于人工智能的糖尿病管理计划的开发提供信息.
主要方法:
- 根据PRISMA-ScR指南进行范围审查,在开放科学框架 (OSF) 上注册.
- 两个阶段的研究选择 (标题/摘要,全文) 独立研究人员审查和冲突解决.
- 使用Joanna Briggs Institute (JBI) 工具进行数据提取和评估,并对定量和定性数据进行叙述综合.
主要成果:
- 人工智能采用的障碍包括对临床性能,成本,数据安全,透明度和培训不足的担忧.
- 人工智能采用的促进因素包括提高临床效率,用户友好性,节省时间和强有力的组织支持.
结论:
- 医疗保健工作者的积极参与对于开发糖尿病管理中有效和综合的人工智能解决方案至关重要.
- 一个自下而上的战略,加上全面的培训和组织支持,可以克服采用障碍,促进公平的创新.
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