用虚拟,交互式患者接触来教导和评估一年级医学学生临床推理的有效性证据.
概括
技术增强的患者模拟有效地教和评估临床推理技能在医生预科生. 虚拟,交互式患者 (VIP) 接触和客观结构化临床检查 (OSCE) 识别需要支持的学生.
科学领域:
- 医学教育 医学教育
- 临床推理 临床推理
- 健康 专业 教育 卫生 专业 教育
背景情况:
- 临床推理对于医疗实践至关重要,但往往没有得到足够的课程重点.
- 将临床推理指导和评估纳入早期医学培训是一个持续的挑战.
研究的目的:
- 开发和评估一个技术增强的临床推理课程,为学前医学生.
- 评估虚拟互动患者 (VIP) 接触在教学和评估临床推理技能的有效性.
主要方法:
- 一年级医学学生参加了诊断推理会议和16次VIP会面.
- 虚拟的,互动的患者接触评估了多个临床推理领域,教师对学生的反应进行了评估.
- 增长混合模型分析了累积的VIP临床推理复合 (CRC) 评分,以确定学生的成长轨迹.
主要成果:
- 117名学生完成了课程,VIP接触的响应率为95%.
- 平均得分在各个领域有所不同:信息收集 (58),疾病脚本识别 (46),假设生成 (64),差异诊断 (59) 和管理 (77).
- 增长混合模型确定了一个2类模型是最适合描述基于CRC分数的学生增长轨迹的.
结论:
- 综合临床推理指导和基于模拟的实践有效地教导和评估在职前阶段的技能.
- 虚拟的,互动的患者接触和客观的结构化临床检查可以识别学生在随后的临床年中表现较差的风险.
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