医生评估,比较能力和人工智能:对知情同意的含义
1Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA jacobmappel@gmail.com.
Journal of medical ethics
|March 12, 2025
概括
人工智能 (AI) 可以通过提供准确的绩效数据来改善医生评估. 然而,这可能会挑战知情同意,并加剧医疗保健差异.
科学领域:
- 医学伦理 医学伦理
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 越来越多地被认为具有提高医疗诊断和个性化治疗的潜力.
- 人工智能在医生绩效评估中的应用带来了新的伦理挑战.
- 目前的知情同意实践包括"比较能力"的例外,允许医生保留其他提供者的绩效数据.
研究的目的:
- 检查人工智能对知情同意的"比较能力"例外的影响.
- 分析人工智能驱动的医生绩效指标如何影响患者决策.
- 探索AI在医生评估中的潜力,以加剧现有的医疗保健差异.
主要方法:
- 在医疗保健和医学伦理学中对人工智能应用的文献综述.
- 对人工智能生成的医生绩效数据的法律和伦理影响的分析.
- 关于知情同意和公平获得护理的伦理框架分析.
主要成果:
- 人工智能可以生成对医生绩效指标的细粒度和准确比较.
- 这种能力挑战了"比较能力"的例外,可能使患者获得更多信息.
- 通过人工智能披露医生成功率可能会导致医疗保健差距增加,有利于拥有更大的财务资源的患者.
结论:
- 人工智能在医生评估中的作用需要重新评估知情同意原则.
- 积极的政策和道德考虑对于减轻潜在的医疗保健差异至关重要.
- 确保公平获得护理需要仔细管理在医疗保健环境中人工智能实施.
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