评估医生参与人工智能持续专业发展的动机
Adam G Gavarkovs1,2,3,4,5,6, Jacqueline Kueper1,2,3,4,5,6, Robert Arntfield1,2,3,4,5,6
1Dr. Adam G. Gavarkovs: Research Associate, Division of Continuing Professional Development, Faculty of Medicine, University of British Columbia.
The Journal of continuing education in the health professions
|January 29, 2025
概括
医生需要对医疗保健中的人工智能 (AI) 工具进行培训. 一项新的基于理论的调查评估了医生对人工智能持续专业发展 (CPD) 的动机,帮助未来的教育规划.
科学领域:
- 医疗信息学 医疗信息学
- 医学教育 医学教育
- 人工智能在医学中的应用
背景情况:
- 医生需要接受培训,以便在医疗保健中有效,安全和公平地利用人工智能 (AI) 工具.
- 持续专业发展 (CPD) 是获得AI能力的关键途径.
- 评估医生动机对于设计有效的以人工智能为重点的CPD至关重要.
研究的目的:
- 提出一种基于理论的方法论,用于评估卫生专业人员参与关于基于AI的工具的CPD的动机.
- 为医疗保健中的AI制定有针对性的CPD活动提供信息.
主要方法:
- 通过从文献和专家输入中获得的AI能力框架开发了一个在线调查.
- 加拿大安大略省的执业医生完成了调查,评估了AI相关CPD的认知能力,重要性和可取性.
- 动机分数是通过乘以这三个评估因素来计算的.
主要成果:
- 医生对基于临床需求识别人工智能工具的动机最高.
- 对评估人工智能工具的监管和法律地位的动机较低.
- 总的来说,AI子能力被认为是重要的,与AI相关的CPD活动通常是可取的.
结论:
- 这项研究验证了一种基于理论的方法来衡量医生对人工智能学习的动机.
- 虽然这种评估方法具体取决于环境,但它可以指导CPD提供者规划未来的AI教育.
- 了解医生的动机是成功在临床实践中采用人工智能的关键.
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