IAMSE人工智能会议调查:人工智能对医学教育学院的影响
Douglas McKell1, Lise McCoy2, Diego F Niño3
1The College of Population Health, Thomas Jefferson University, Philadelphia, PA USA.
Medical science educator
|January 6, 2025
概括
医学教育工作者对人工智能 (AI) 很满意,但面临着重大采用挑战. 大多数机构都处于人工智能集成的早期阶段,对在线培训和认证的需求很大.
科学领域:
- 医学教育 医学教育
- 人工智能采用 人工智能采用 人工智能采用 人工智能采用 人工智能采用
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在医学教育中越来越重要.
- 了解医疗教育工作者当前的人工智能采用水平和挑战至关重要.
- 国际医学科学教育者协会 (IAMSE) 对其成员进行了调查,以评估AI整合.
研究的目的:
- 评估IAMSE成员当前使用AI的情况.
- 在个人和组织层面上识别AI实施的挑战.
- 了解机构人工智能计划和资源需求,以有效采用人工智能.
主要方法:
- 在2024年年会期间,在IAMSE成员中进行了一项调查.
- 该调查评估了人工智能使用情况,实施障碍,组织人工智能计划和所需资源.
- 数据分析的重点是报告的舒适度,挑战,机构阶段和培训需求.
主要成果:
- 53%的受访者表示对人工智能感到舒适,但注意到了大量的个人和组织采用挑战.
- 86%的机构正处于人工智能整合的初始阶段.
- 53%的受访者表示需要在线培训和证书课程.
结论:
- 虽然医学教育工作者对人工智能感到满意,但存在重大障碍,阻碍其广泛采用.
- 大多数机构都处于人工智能集成的初始阶段,这表明需要战略支持.
- 对于结构化的教育资源有明显的需求,例如在线培训和认证,以促进AI在医学科学教育中的采用.
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