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相关概念视频

Statistical Software for Data Analysis and Clinical Trials01:12

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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相关实验视频

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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.

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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.

关键词:
在 COVID-19 疫情中,公平原则 公平原则菲希尔 (FHIR) 是一个人.快速医疗互操作性资源 互操作性资源这就是SARS-CoV-2病毒.心脏病学心脏病学心脏病学免疫接种 免疫接种 免疫接种互操作性互操作性互操作性的互操作性互操作互操作的互操作互操作的互操作互操作的互操作互操作的互操作的互操作的互操作的互操作的互操作的互操作的互操作的互操作的儿科 儿科 儿科研究数据集研究数据集标准的标准的标准的标准的标准.

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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.