建立一个开放的标准全面的癌症队列研究数据库
Chung-Yueh Lien1, Chao-Wei Hsu1, Pau-Choo Chung2
1Dept. of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Studies in health technology and informatics
|August 8, 2025
概括
这项研究创建了一个癌症研究数据库,使用医疗互操作性标准,如快速医疗互操作性资源 (FHIR) 和医学数字成像和通信 (DICOM). 该框架整合了来自电子健康记录的各种数据,用于全面的癌症队列分析.
科学领域:
- 生物医学信息学 生物医学信息学
- 健康 数据科学 数据科学
- 癌症研究 信息学 信息学
背景情况:
- 医疗保健数据在多个电子健康记录 (EHR) 系统中分散.
- 整合不同类型的数据 (人口统计,成像,基因组学) 对于全面的癌症研究至关重要.
- 需要标准化的互操作性框架来促进数据聚合.
研究的目的:
- 开发一个全面的癌症队列研究数据库框架.
- 为了利用医疗保健互操作性标准 (FHIR,DICOM) 进行数据集成.
- 在多个EHR系统中实现无数据交换和分析.
主要方法:
- 开发了EHR数据的数据收集管道,包括人口统计,报告,CT图像,整个幻灯片图像 (DICOM) 和基因组数据.
- 使用国际术语 (ICD,LOINC,SNOMED CT) 将收集的数据转换为快速医疗互操作性资源 (FHIR) 格式.
- 利用FHIR成像报告实施指南,并通过cBioPortal将基因组数据集成到一个集中式门户.
主要成果:
- 成功收集和整合了来自625例非小细胞肺癌和373例头癌病例的数据.
- 建立了基于FHIR的数据结构,用于各种与癌症相关的信息.
- 实施了一个集中式门户网站,用于访问和分析综合多式模式的癌症数据.
结论:
- 开发的框架有效地整合了癌症研究的异质医疗保健数据.
- 使用FHIR和DICOM标准有助于创建强大的癌症队列数据库.
- 集中式门户网站通过数据集成为促进癌症研究提供了宝贵的资源.
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