应用人工智能来测量和预测患者的价值和偏好:一个范围审查
Mengting Yang1,2,3,4,5, Yuan Luo1,2,3,4,6, Tong He1,2,3,4,5,7
1Department of Pharmacy/ Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, China.
NPJ digital medicine
|December 18, 2025
概括
人工智能 (AI) 可以从各种数据源中测量患者的价值观和偏好. 虽然有希望,但数据质量和道德问题等挑战需要进一步研究现实世界医疗保健应用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者为中心的护理研究研究
背景情况:
- 在医疗保健决策中捕捉患者的价值观和偏好是一项挑战.
- 现有的方法可能不能完全代表多样化的患者群体.
- 需要创新的方法来收集以患者为中心的证据.
研究的目的:
- 对人工智能 (AI) 在测量和预测患者价值和偏好方面的应用进行范围审查.
- 评估AI在产生可靠,以患者为中心的证据方面的潜力.
- 识别有关患者价值观的文献评论中使用的机会,挑战和AI工具.
主要方法:
- 系统的文献搜索和对67项研究的分析.
- 通过各种数据源 (社交媒体,临床记录,调查) 检查AI应用程序.
- 总结用于数据预处理,提取,分析,集成和建模的AI技术.
主要成果:
- 人工智能有效地处理各种数据源,以提取患者的价值和偏好.
- 人工智能在数据预处理等任务中表现出高精度 (例如,>80%).
- 关键的挑战包括数据质量,现实世界的验证和道德考虑.
结论:
- 人工智能显示出促进患者价值观和偏好研究的巨大潜力.
- 提高透明度和现实世界的实施对于医疗保健中的AI至关重要.
- 解决已确定的挑战将增强人工智能的作用,使医疗保健与患者需求保持一致.
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