对智能医疗保健的AI政策和监管文本进行定量评估和优化
Zhaolin Zhou1, Yu Xiang1, Chunchun Liu1
1School of Management, Xuzhou Medical University, Xuzhou, China.
Frontiers in public health
|December 29, 2025
概括
智能医疗保健政策中的人工智能 (AI) 被评为"优秀",但在连续性和可操作性方面需要改进. 这项研究为全球优化人工智能医疗保健政策提供了见解.
科学领域:
- 医疗保健政策分析 政策分析
- 人工智能在医学中的应用
- 公共卫生信息学 公共卫生信息学
背景情况:
- 人工智能 (AI) 显著提高了智能医疗效率,诊断和治疗,同时控制了成本.
- 智能医疗保健政策中的AI对于资源分配和提高诊断/治疗准确性至关重要.
- 评估人工智能智能医疗保健政策为科学制定和优化提供了基础.
研究的目的:
- 分析AI智能医疗保健政策的质量并确定需要改进的领域.
- 为AI智能医疗保健政策制定提供理论和决策基础.
- 支持人工智能在智能医疗保健中的科学制定,实施和优化.
主要方法:
- 从总共77个政策 (2015-2025) 中分析了10个代表性政策文本.
- 计算政策建模内容 (PMC) 指数,以评估政策的优缺点.
- 使用PMC表面和雷达图表进行视觉分析和优化路径识别.
主要成果:
- 智能医疗保健人工智能政策的整体质量被评为"优秀".
- 在政策重点和评估系统的完整性中发现的优势.
- 缺点包括政策连续性不足,过度依赖强制性指令,运行能力薄弱.
结论:
- 在PMC政策标准化评估中,确定了关键的政策问题.
- 根据区域差异提供了差异化的设计参考.
- 为协作改进和全球人工智能治理优化提供关键支持.
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