"我只是不知道足够的:"在持续的专业发展中对人工智能采用的需求评估
Adria Hoffman1, Elissa Hall, Jennifer Curran
1Dr. Hoffman: Senior education specialist, Mayo Clinic School of Continuous Professional Development and instructor in medical education, Mayo Clinic College of Medicine and Science, Rochester, MN. Dr. Hall: Scientific director, advanced digital education, Mayo Clinic Harper Family Foundation Artificial Intelligence Education in Medicine Program and assistant professor of laboratory medicine, Mayo Clinic College of Medicine and Science, Rochester, MN. Dr. Curran: Director of professional education, Mayo Clinic Center for Tuberculosis, Rochester, MN. Ms. Ganther: Senior program coordinator, Mayo Clinic Program in Professionalism and Values and instructor in medical education and health care administration, Mayo Clinic College of Medicine and Science, Jacksonville, FL. Dr. Bowler: Assistant Professor of Health Care Administration; Assistant Professor of Laboratory Medicine and PathologyMayo Clinic Department of Laboratory Medicine and Pathology and Assistant Professor of Medical Education, Mayo Clinic College of Medicine and Science, Rochester, MN.
生成型人工智能 (AI) 为卫生专业教育提供了机会,但采用需要解决个人和组织障碍. 了解人工智能工具的实施对于有效融入持续专业发展 (CPD) 至关重要.
科学领域:
- 健康 职业 教育 教育 专业
- 人工智能的人工智能
- 持续的专业发展持续的专业发展
背景情况:
- 生成型人工智能 (AI) 提供了提高工作效率和增强卫生专业教育的潜力.
- 人们对利用人工智能用于持续专业发展 (CPD) 有很大的兴趣.
研究的目的:
- 确定CPD专业人员对AI的需求.
- 确定支持人工智能工具采用的组织方法.
主要方法:
- 从2024年4月到7月进行了9个重点小组和2次采访.
- 解释性现象学分析被用来分析参与者的经验和障碍.
主要成果:
- 人工智能采用的障碍存在于个人,团队和组织层面.
- 关键障碍包括对授权工具的了解,数字素养,政策,角色明确性和组织目的.
结论:
- 目前的文献缺乏对CPD中微妙的人工智能角色和背景的探索.
- 评估人工智能工具需要了解它们的功能,以及数字素养中的法律,伦理和教学方面.
- 组织系统,流程和沟通显著影响AI技术的采用.
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