德国冠状病毒共识 (GECCO) 的可互操作,域特定扩展COVID-19研究数据集 使用跨学科,基于共识的工作流:数据集开发研究
Gregor Lichtner1,2,3, Thomas Haese1, Sally Brose1
1Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
JMIR medical informatics
|July 25, 2023
概括
德国冠状病毒共识 (GECCO) 为免疫,儿科和心脏病学中的COVID-19研究开发了可互操作的数据集扩展. 这种工作流可以实现标准化,跨机构的数据收集,以便更好地应对流行病.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 由于COVID-19的流行,需要进行大规模的机构间研究.
- 标准化和可互操作的数据集定义对于有效的研究合作至关重要.
- 德国冠状病毒共识 (GECCO) 核心数据集是为COVID-19研究而建立的.
研究的目的:
- 建立一个工作流程,用于开发可互操作的数据集定义.
- 为免疫,儿科和心脏病学的COVID-19研究创建专门的数据集扩展.
- 确保跨系统和机构的内容相关性和语义/语法互操作性.
主要方法:
- 开发了一个合作工作流程,涉及医疗专家和信息科学家.
- 选择了针对免疫,儿科和心脏病学的特定领域的数据元素.
- 将数据元素映射到国际标准,并使用HL7 FHIR进行规范.
- 通过两阶段的过程验证了配置文件和映射.
主要成果:
- 创建了GECCO扩展模块用于免疫 (48个元素),儿科 (150个元素) 和心脏病学 (52个元素).
- 确保选择的数据元素与每个专业的具体研究需求保持一致.
- 发布了每个模块的实施指南,实施示例和数据集注释.
结论:
- GECCO扩展模块为关键的COVID-19研究领域提供了标准化的数据定义.
- 开发的工作流作为创建未来互操作数据集的蓝图.
- 这些模块通过协调专业特定数据,促进机构间和跨国COVID-19研究.
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