分享是关心:帮助机构和卫生组织利用数据改善教育
Stefanie S Sebok-Syer1, Alina Smirnova2, Ethan Duwell3
1Stanford University, United States.
Perspectives on medical education
|October 14, 2024
概括
基于能力的医学教育 (CBME) 产生了大量的数据,但共享它是复杂的. 这项研究提供了一个蓝图,以改善数据访问,治理和分析,以获得更好的教育见解.
科学领域:
- 医学教育 医学教育
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 基于能力的医学教育 (CBME) 产生了大量的数据,对了解学员和教育系统有价值.
- 组织在访问,管理,分析和可视化临床和教育数据方面面临重大障碍.
- 这些挑战阻碍了基本的数据共享,阻碍了医疗教育的全系统改进.
研究的目的:
- 识别和说明医疗教育数据共享的挑战.
- 描述跨组织层面和数据类型层面的数据共享的复杂性.
- 引入一个实用的蓝图,以促进数据共享倡议.
主要方法:
- 分析了四个案例研究,以突出数据共享的挑战.
- 基于组织范围 (单个与多个) 和数据类型 (临床/教育) 的数据共享复杂性的描述.
- 开发一个以行动为导向,以证据为基础的数据共享蓝图.
主要成果:
- 医疗教育中的数据共享是复杂的,受立法变化,数据政策,异质性,基础设施和各种使用案例的影响.
- 案例研究表明,在单个和多个组织环境中存在挑战,涉及临床和教育数据.
- 为了指导数据共享,开发了一个三个阶段的蓝图 (准备,执行,代).
结论:
- 有效的数据共享对于推动医学教育至关重要,但面临着许多障碍.
- 拟议的蓝图提供了一个结构化的方法来支持和指导数据共享倡议.
- 该模型可以帮助组织在内部和协作中导航和改进其数据共享流程.
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