医疗教育中的患者自主:在人工智能时代应对道德挑战
Hui Lu1,2, Ahmad Alhaskawi1, Yanzhao Dong1
1The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang Province, P.R. China.
Inquiry : a journal of medical care organization, provision and financing
|September 18, 2024
概括
医学教育工作者必须调整课程以应对人工智能 (AI) 在医疗保健中的道德挑战. 这确保了学生对人工智能的批判性认识.
科学领域:
- 医学伦理 医学伦理
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 在医疗保健中的整合有望改善诊断和患者的治疗结果.
- 人工智能的快速发展在医学教育中带来了重大的伦理挑战.
- 现有的医疗伦理框架需要调整以解决AI的具体问题.
研究的目的:
- 探索医学教育工作者在适应人工智能集成道德教育方面的重要作用.
- 确保道德教育仍然是医学课程的核心和适应性的组成部分.
- 为人工智能驱动的医疗保健环境准备未来的医疗保健专业人员.
主要方法:
- 在医学和医学伦理教育中对人工智能的文献综述.
- 对人工智能在医疗保健中带来的伦理挑战的分析.
- 探索将人工智能道德纳入医学课程的教学策略.
主要成果:
- 医学教育工作者必须不断发展,以引导AI驱动的医疗保健中的道德意识.
- 课程需要纳入AI特定的伦理考虑,如数据隐私,偏见和同意.
- 跨学科的合作对于全面了解人工智能伦理至关重要.
结论:
- 将医学教育适应人工智能伦理对于负责任的医疗保健创新至关重要.
- 医学教育工作者是培养学生道德意识和批判性评估技能的关键.
- 需要一个整体的,跨学科的方法来驾AI在医学中的复杂的伦理格局.
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