数字教育用于在医疗保健中部署人工智能
Fernando Korn Malerbi1, Luis Filipe Nakayama1,2, Robyn Gayle Dychiao3
1Ophthalmology Department, Sao Paulo Federal University, Sao Paulo, Brazil.
医疗保健专业人员需要数字技能来采用人工智能 (AI). 培训必须涵盖人工智能基础知识,伦理学和数据评估,以确保安全实施并克服时间和资源有限等障碍.
科学领域:
- 数字健康数字健康
- 医学教育 医学教育
- 医疗保健中的人工智能
背景情况:
- 传统的医疗保健教育往往缺乏现代医疗保健进步所需的基本数字能力.
- 人工智能 (AI) 整合到医疗保健中需要一支拥有特定数字技能的劳动力.
- 现有的课程和时间限制对提高医疗保健专业人员的技能构成重大挑战.
研究的目的:
- 突出卫生保健专业人员对数字能力的关键需求,以有效实施AI.
- 确定在临床环境中安全和道德地采用人工智能所需的关键知识领域和技能.
- 在医疗保健教育中提出克服数字健康素养障碍的策略.
主要方法:
- 关于人工智能在医疗保健教育和数字能力方面的文献综述.
- 对电子健康素养障碍的分析.
- 综合了跨学科合作的建议.
主要成果:
- 医疗保健专业人员需要在机器学习,数据评估,临床工作流集成,偏见控制和人机交互方面的知识.
- 了解围绕人工智能的法律,伦理含义和潜在误解至关重要.
- 障碍包括时间限制,课程限制和合格教育工作者短缺.
结论:
- 开发人员,专业协会和学术界之间的伙伴关系对于推进数字健康素养至关重要.
- 整合不同的专业知识 (数据科学家,律师,社会科学家) 可以打击数字文盲.
- 积极的教育和培训对于在医疗保健中安全有效地实施AI至关重要.
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