个性化患者偏好预测器用于医疗保健中的替代判断:在技术上可行,在道德上可取
Brian D Earp1,2,3, Sebastian Porsdam Mann1, Jemima Allen4
1University of Oxford.
The American journal of bioethics : AJOB
|January 16, 2024
概括
一个新的个性化患者偏好预测器 (P4) 使用人工智能推断患者的愿望取代了判断. 这种方法比以前的方法更好地尊重患者的自主权,通过使用个人特定数据.
科学领域:
- 生物伦理学生物伦理学
- 人工智能的人工智能
- 医疗决策 - - 医疗决策
背景情况:
- 代孕医生在确定失能患者的治疗偏好方面面临挑战.
- 现有的患者偏好预测器 (PPP) 使用人口数据,引发了自治问题.
- 批评者认为PPP缺乏个体特异性,可能误解患者价值观.
研究的目的:
- 提出一个个性化的患者偏好预测器 (P4),解决自主性问题.
- 利用机器学习从个人特定数据中推断患者的偏好.
- 为了提高准确性和尊重个体患者的价值在替代判断.
主要方法:
- 利用最近机器学习和大型语言模型的进展.
- 微调AI模型对个体患者特定数据 (例如,先前的决定) 进行微调.
- 将拟议的P4方法与现有的PPP方法进行比较.
主要成果:
- 由于人工智能的进步,P4在技术上是可行的.
- 预计P4预测在个人层面上会更准确.
- P4的设计更直接地反映了患者独特的理由和价值观.
结论:
- 个性化患者偏好预测器 (P4) 为替代判断提供了一个有希望的解决方案.
- P4有可能减轻对早期偏好预测模型的基于自主性的批评.
- 进一步开发和部署P4需要仔细考虑道德上的反对意见.
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