通过整合医疗教育连续性的数据来改善研究生医学教育
概括
建立国家研究生医学教育 (GME) 数据基础设施对于基于证据的改进至关重要. 这将使严格的研究和优化医生培训通过全面的,链接数据跨越所有教育阶段.
科学领域:
- 医学教育研究 医学教育研究
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
背景情况:
- 目前的研究生医学教育 (GME) 的改进往往来自于缺乏严格的结果测量和通用性的小型试验.
- 推动GME的重大障碍是有限的访问大规模数据,以产生经验证据.
研究的目的:
- 检查国家GME数据基础设施在加强医学教育方面的潜力.
- 审查通过数据改善GME的国家研讨会的调查结果.
- 提出建立这样一个数据基础设施的战略途径.
主要方法:
- 分析了两个国家科学院,工程院和医学院研讨会的成果.
- 构想未来的数据基础设施,整合医学前,医学本科,GME和执业医生的数据.
- 建议下一步措施,包括数据库存,试点共享和框架开发.
主要成果:
- 对于GME改进的纵向数据基础设施的价值存在广泛的共识.
- 确定了数据基础设施发展的重大障碍.
- 设想使用共同标准和唯一标识符的多机构纵向数据系统.
结论:
- 国家GME数据基础设施对于基于证据的决策和优化居民教育至关重要.
- 在GME中利用大数据是向医生教育进步迈出的关键一步.
- 关键的下一步涉及数据库存,试点共享计划,以及建立技术/治理框架.
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