相关实验视频
Updated: Jun 16, 2026

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Establishment of a Clinic-based Biorepository
Published on: May 29, 2017
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生物礁基础设施,实时,联合,保护隐私和个性化的参考间隔的框架:设计,开发和应用
Tobias Ueli Blatter1,2, Harald Witte1, Jules Fasquelle-Lopez3
1University Institute of Clinical Chemistry, University Hospital Bern, Bern, Switzerland.
Journal of medical Internet research
|October 18, 2023
概括
这项研究引入了BioRef基础设施,从常规实验室数据中实现精确的,针对患者的参考间隔 (RI). 这种保护隐私的框架增强了精准医学和患者护理.
科学领域:
- 临床实验室科学 临床实验室科学
- 生物信息学是一种生物信息学.
- 精准医学是一门精准的医学.
背景情况:
- 参考间隔 (RIs) 对于识别患者测试结果中的病态状态至关重要.
- 推断群体特定的RI通常受到高成本和复杂努力的阻碍.
- 需要复杂的工具来自动从例行实验室数据中导出本地RI.
研究的目的:
- 描述BioRef基础设施,一个多中心的IT框架,用于估计患者组特定的RI.
- 详细介绍一个去中心化的数据共享方法和一个临床导向的图形用户界面 (GUI) 用于数据分析.
- 为了能够从常规临床实验室数据直接评估RI.
主要方法:
- 建立了共同的治理和互操作性标准,以使多维实验室数据协调成为统一的资源.
- 使用国际编码系统 (ICD-10,GUDID,GMDN) 和资源描述框架 (RDF) 进行数据对齐.
- 实施了分散的数据共享方法 ("不复制,不移动") 以保护隐私,使用TI4Health系统进行联合分析.
主要成果:
- 生物Ref-TI4Health基础设施可以通过GUI进行RI的隐私保护计算,而不会暴露原始数据.
- 图形用户界面允许根据患者因素 (年龄,性别,病史) 和实验室决定因素 (设备,分析仪,测试包) 进行直观的数据分层.
- 随时生成个性化,对共变量进行调整的RI,方便详细的,针对患者组的特定查询.
结论:
- 生物Ref-TI4Health基础设施为定义精确,保护隐私和可重复的RI提供了一个框架.
- 这促进了精准医学,简化了合规性,避免了原始患者数据的转移.
- 该方法为RI提供了关键的更新,改善了个性化医疗的患者护理.
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