内部医疗表演实习 轮换结构和学生责任的趋势:2023年全国调查结果
Adam M Garber1, T Robert Vu2, Andrew Orr3
1Virginia Commonwealth University School of Medicine, Richmond, VA, USA. adam.garber@vcuhealth.org.
Journal of general internal medicine
|July 29, 2024
概括
内部医学表演实习 (AI) 对医学学生至关重要,但目前的实践在结构和课程上有很大差异. 标准化是必要的,以更好地为学生准备居住.
科学领域:
- 医学教育 医学教育
- 内部医学培训培训 内部医学培训
背景情况:
- 表演实习 (AI) 是从医学院到住院的内部医学过渡的关键组成部分.
- 最近医疗教育的变化需要重新评估人工智能的当前状态.
- 多年来没有对人工智能实践进行过全面的调查.
研究的目的:
- 为了调查目前的内部医学实习的现状.
- 确定需要标准化的人工智能轮换的特定领域.
主要方法:
- 一项自愿的在线调查被分发给美国的医学院.
- 内部医学AI轮换的课程主任是目标参与者.
- 关键措施包括AI轮换要求,持续时间,服务类型,学生责任和课程组件.
主要成果:
- 从LCME认可的学校获得了50.7%的响应率.
- 所有学校都需要至少一个AI毕业,大多数学校将学生整合到居民团队中.
- 学生每天管理3-4名患者,处理护理的大部分方面,但结构化课程未得到充分利用.
结论:
- 内科人工智能仍然是医学培训的核心元素.
- 人工智能结构,课程和学生期望存在显著差异.
- 标准化人工智能体验将更好地为学生提供居住资格.
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