实施人工智能用于紧急诊所死亡率预测的伦理考虑:理论与实践的联系
Lena Petersson1, Kalista Vincent1, Petra Svedberg1
1School of Health and Welfare, Halmstad University, Halmstad, Sweden.
Digital health
|October 13, 2023
概括
医疗保健中的人工智能 (AI) 需要一个更广泛的伦理框架,不仅仅是基本原则. 这项研究提出了一个新的模型,解决了AI在临床实践中的实施的六个关键伦理原则.
科学领域:
- 医疗保健道德 医疗保健道德
- 医疗人工智能 医疗人工智能
- 临床决策支持系统 临床决策支持系统
背景情况:
- 人工智能 (AI) 在医疗保健方面提供了潜在的好处,包括提高效率和资源管理.
- 人工智能在医疗保健中的关注越来越多,这凸显了对强有力的道德准则的迫切需要.
- 现有的伦理原则可能不足以解决AI在临床环境中实施的复杂性.
研究的目的:
- 探索医疗保健专业人员在与紧急部门的人工智能应用相关的伦理问题上的观点.
- 开发一个全面的道德模型来指导AI在医疗保健中的实施,以道德理论为基础.
主要方法:
- 对18名医疗保健专业人员进行了半结构化采访.
- 采用一种带走式的分析方法,交替采取诱导式和演式的步骤.
主要成果:
- 一个伦理模型被开发出来,强调了六个核心原则:自主性,公益性,非恶性,正义,可解释性和专业治理.
- 该模型将这些原则与包括美德,道德学和后果主义在内的伦理理论相结合,用于AI在临床实践中.
结论:
- 医疗保健中人工智能的伦理考虑超出了基本的医学伦理原则和可解释性.
- 需要更广泛的伦理观点来应对医疗保健专业人员在使用人工智能工具时面临的各种挑战.
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