为医疗保健中的联合学习建立桥梁:对共同数据模型开发方法的审查
Hanna von Gerich1, Taridzo Chomutare2, Laura-Maria Peltonen1,3
1Department of Nursing Science, University of Turku, Finland.
共同的数据模型为联合学习标准化健康数据. 观察医学结果伙伴关系 (OMOP) 模式是关键的,但护理研究需要专门的模型.
科学领域:
- 医疗信息学 医疗信息学
- 生物医学数据科学 生物医学数据科学
- 医疗保健中的联合学习
背景情况:
- 联合学习需要标准化的数据表示.
- 电子健康记录 (EHR) 包含有价值的健康研究数据.
- 协调EHR数据对于强大的健康研究至关重要.
研究的目的:
- 审查共同数据模型 (CDM) 的开发和应用,以协调EHR数据.
- 评估CDM在健康研究中的使用情况,特别是在联合学习环境中.
- 发现CDM研究中的差距,特别是关于护理特定数据的差距.
主要方法:
- 系统的文献搜索产生了724个记录.
- 纳入标准导致19项研究进行分析.
- 分析的重点是CDM在健康研究中的利用和发展.
主要成果:
- 所有包括的研究都采用了观察医学结果伙伴关系 (OMOP) CDM或其变体.
- 没有研究使用CDM专门解决了与护理相关的主题.
- OMOP CDM是当前健康研究中占主导地位的模型.
结论:
- 在健康研究中,OMOP CDM被广泛采用用于EHR数据协调.
- 需要进一步研究开发特定于护理的共同数据模型.
- 需要一个路线图来指导未来关于CDM的研究,以促进联合学习.
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