新生儿学伦理教育:整合理论,多模式方法和人工智能创新
Anne Sullivan1,2, Gina Geis3,4, Christy Cummings1,2,5
1Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts.
NeoReviews
|January 31, 2026
概括
本综述探讨了新生儿周产期医学 (NPM) 临床医师的伦理教育,使用成人学习原则和技术. 它强调了改善道德推理和决策的方法,这对于道德新生儿护理至关重要.
科学领域:
- 医学教育 医学教育
- 生物伦理学生物伦理学
- 新生儿-产前医学 新生儿-产前医学
背景情况:
- 对于面临复杂道德困境的新生儿临床医生来说,道德教育至关重要.
- 目前的培训方法需要改进,以解决道德实践的认知,情感和人际关系方面的问题.
研究的目的:
- 审查新生儿周产期医学 (NPM) 目前的伦理教育策略.
- 探索成人学习理论,多样化的教学方式和新兴技术在NPM伦理培训中的整合.
- 讨论评估挑战和创新方法,包括人工智能应用.
主要方法:
- 在新生儿-围产医学伦理教育方法的文献综述.
- 基础策略的分析:基于案例的讨论,模拟,专业间的学习和汇报.
- 评估工具的检查:知识测试,能力框架,基于绩效的评估和反清单.
- 探索新兴技术:人工智能 (AI),生成AI,对话代理和交互式模拟.
主要成果:
- 基础策略增强批判性反思,道德推理和共享决策.
- 评估是多方面的,需要组合的工具来评估知识,技能和态度.
- 人工智能为案例创建,虚拟角色扮演和模拟提供创新解决方案,扩大访问和个性化学习.
- 人工智能集成需要仔细考虑潜在的偏见和错误信息.
结论:
- 一个结构化的,以理论为基础的伦理课程,强有力的评估和正确的AI使用是必不可少的.
- 增强的道德能力使临床医生能够管理道德困境,维护父母价值观,解决公平问题,并支持以家庭为中心的护理.
- 持续改进伦理教育对于应对新生儿-周产期医学的复杂性至关重要.
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