人工智能在患者门户消息中的机遇和风险 在初级保健中
Joshua M Biro1, Jessica L Handley2, J Malcolm McCurry3
1MedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA. Joshua.M.Biro@medstar.net.
NPJ digital medicine
|April 24, 2025
概括
初级保健医生 (PCP) 使用人工智能 (AI) 草稿为患者信息经常错过错误. 未经纠正的AI产生的不准确性构成患者安全风险,需要更好的AI设计和错误检测.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者沟通 患者沟通
背景情况:
- 越来越多的患者门户信息增加了初级保健医生 (PCP) 的工作负担和倦怠.
- 生成型人工智能 (AI) 通过起草患者信息响应来降低认知负担的潜力.
- 人工智能产生的草稿的安全性和用户的看法在很大程度上仍未被探索.
研究的目的:
- 评估PCP识别和纠正AI生成的患者门户消息响应草案中的错误的能力.
- 评估PCP对AI安全性草案和认知工作量减少的看法.
主要方法:
- 一项横截面模拟研究涉及20名练习PCP.
- 参与者审查了18条患者门户消息,其中包括4条客观不准确或潜在有害的遗漏.
- 该研究分析了错误识别率和提交未经编辑的错误草案.
主要成果:
- 13-15名参与者不足以解决AI草稿中的每个错误.
- 35-45%的包含错误的草案没有任何编辑.
- 虽然80%的人认为人工智能草案减少了认知工作量,75%的人认为它们是安全的,但未经纠正的错误很普遍.
结论:
- 人工智能生成的草稿中未经纠正的错误存在重大患者安全风险.
- 改进的人工智能设计,用户培训和强大的错误检测机制对于安全实施至关重要.
- 需要进一步的研究来优化AI工具用于临床实践.
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