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教育课程评估用于教学心电图:潜在的国际随机对照EDUCATE试验的推理和设计
Anthony H Kashou1, Peter A Noseworthy1, Thomas J Beckman1
1Mayo Clinic, Rochester, MN, USA.
本研究评估了基于网络的电心电图 (ECG) 解释技能的学习. 它比较了不同的在线方法来提高医疗专业人员的ECG能力.
科学领域:
- 医学教育 医学教育
- 心脏病学 心脏病学
- 数字健康数字健康
背景情况:
- 电心电图 (ECG) 的解释至关重要,但往往缺乏医学毕业生.
- 医疗培训中的障碍阻碍了普遍的ECG解释能力.
- 需要一种可访问的,基于证据的ECG教育解决方案.
研究的目的:
- 确定基于网络的自主主导,主动学习平台的有效性,以改善心电图解释.
- 为了比较不同在线学习模式 (基于问题,基于讲座,混合) 的ECG教育.
- 在ECG解释中识别绩效差距并建立能力标准.
主要方法:
- 教育课程评估教学心电学 (EDUCATE) 试验是一项国际随机对照试验.
- 1000名医疗专业人员将被随机分为四组:基于问题,基于讲座,混合或控制.
- 主要终点:心电图解释性能的变化;次要终点:解释时间,信心和准确性.
主要成果:
- 这个部分是在试验完成后填写的.
结论:
- 该EDUCATE试验旨在提供一个实际的,以证据为基础的解决方案,以提高ECG解释技能.
- 它通过比较基于网络的学习方法来解决现代ECG教育的挑战.
- 该试验旨在产生数据驱动的见解,以提高医学界的ECG解释能力.
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