大型语言模型对临床实践的影响:通过原理主义框架进行伦理分析
1Academic Unit of Population and Lifespan Sciences, School of Medicine, Clinical Sciences Building, University of Nottingham, Nottingham, Nottinghamshire, UK.
Journal of evaluation in clinical practice
|December 2, 2024
概括
大型语言模型 (LLM) 通过改善患者的治疗结果和标准化护理,为医疗保健提供了显著的好处. 然而,关于患者伤害和自主性的伦理考虑需要在广泛采用之前仔细降低风险.
科学领域:
- 医学伦理 医学伦理
- 医疗保健中的人工智能
- 临床信息学 临床信息学
背景情况:
- 生成型人工智能 (AI),特别是大型语言模型 (LLM),越来越多地被用于医疗和医疗保健应用.
- 医疗从业者和研究人员正在研究LLM的潜力,以改变医疗保健提供.
研究的目的:
- 检查在临床实践中使用LLM的伦理含义.
- 在原则主义的伦理框架内评估LLM整合.
主要方法:
- 伦理原则的分析:公益,非有害,自主和正义.
- 考虑LLM对患者护理,从业人员责任和健康公平的影响.
主要成果:
- 通过行政支持和直接的临床见解,LLM可以提高患者的治疗结果,并与有益性保持一致.
- 潜在的患者伤害需要减轻非恶性病的风险; 患者的知情同意和替代方案对于自主性至关重要.
- 法律法学可以促进护理标准化,减轻偏见,解决健康差异,支持正义.
结论:
- 对于将LLMs纳入临床实践,有一个强有力的伦理案例.
- 减轻患者伤害的风险可能会使LLM的合并从伦理上成为原则主义的必要要求.
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