标准化成像检测结果表示:利用通用数据元素语义和快速医疗互操作性资源结构
Ali S Tejani1, Brian Bialecki2, Kevin O'Donnell3
1Department of Radiology, UT Southwestern Medical Center, Dallas, TX 75390, United States.
概括
本研究介绍了一个使用共同数据元素 (CDEs) 和健康7级 (HL7) 快速医疗互操作资源 (FHIR) 标准化放射学结果的框架. 这使得人类和人工智能生成的数据可以无集成,以改善患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 放射学数据标准 放射学数据标准
- 健康数据互操作性 互操作性
背景情况:
- 放射学结果通常是无结构的,阻碍了数据集成和下游系统使用.
- 标准化语义标签和数据结构对于有效的医疗数据交换至关重要.
- 目前的系统很难将放射科医生创建的报告与人工智能生成的发现整合起来.
研究的目的:
- 为了设计一个代表放射学结果的框架,建立了一个基于标准的数据结构.
- 将北美放射学会/美国放射学学院的共同数据元素 (CDEs) 作为语义标签.
- 为下游系统实现放射学家和人工智能生成数据的集成.
主要方法:
- 开发了一个框架,将放射学发现作为HL7 FHIR观测模型.
- 采用CDE集/元素标识符作为标准化语义标签,用于发现和属性.
- 在FHIR诊断报告资源中集成的CDE标识符与RadLex,SNOMED CT和LOINC本体.
主要成果:
- 放射学发现可以被标记为离散数据,使用CDE定义用于语义和FHIR观测用于结构.
- CDE编码的观察结果为诊断,建议和定量数据提供了一致的标签.
- 通过编码胸部CT上的肺结节来证明框架应用,用于工作流交换.
结论:
- 标有CDE标签的FHIR观测创建了一个共同的编码和交换放射学数据的语言.
- 这便于在整个医疗保健系统中使用个人放射学发现.
- 标准化放射学数据在整个患者护理过程中提高了价值和实用性.
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