用语义和语法互操作性构建标准化癌症综合报告:使用SNOMED CT和快速医疗互操作性资源 (FHIR) 的开发研究
Jieun Hwang1, Alexander K Goel2, Brian A Rous3
1Department of Pathology and Microbiology, University of Nebraska Medical Center, 42nd and Emile, Omaha, NE, 68198, United States, 1 402-559-9593.
JMIR medical informatics
|September 25, 2025
概括
本研究提出了一种方法,使癌症病理报告可计算和可互操作,使用SNOMED临床术语 (SNOMED CT) 和健康水平7 (HL7) 快速医疗互操作资源 (FHIR). 该方法成功构建了癌症报告国际合作 (ICCR) 的结直肠癌数据,以进行标准化交换.
科学领域:
- 医疗信息学 医疗信息学
- 计算病理学计算病理学
- 健康数据标准 卫生数据标准
背景情况:
- 病理学报告对于癌症患者的护理至关重要.
- 美国病理学家学院和国际癌症报告合作组织 (ICCR) 的标准化工作改善了病理学报告结构.
- 标准制定组织已经有了先进的数据计算和交换方法,提高了病理学报告的互操作性.
研究的目的:
- 开发一种方法,使病理癌症报告可计算和可互操作.
- 使用已公布的癌症报告协议,SNOMED临床术语 (SNOMED CT) 和健康7级 (HL7) 快速医疗互操作资源 (FHIR).
主要方法:
- 术语学家和病理学家评估了ICCR结直肠癌 (CRC) 报告数据集.
- SNOMED CT 概念被映射到 ICCR CRC 数据集中的数据元素.
- 该数据集被转换为FHIR结构化数据采集 (SDC) 问卷,使用国家医学图书馆的工具.
- 问卷被染成一个符合FHIR的数据交换消息.
主要成果:
- ICCR CRC数据集包括216个数据元素;207个成功地映射到SNOMED CT,并集成到FHIR SDC结构中.
- 九个数据元素含糊不清,无法可靠地编码.
- 由此产生的FHIR SDC表格准确地代表了ICCR CRC数据集,并提供了R4 JSON格式的数据进行交换.
结论:
- 证明了一种可处理和可扩展的方法,使癌症病理报告完全可计算和可互操作.
- 癌症报告国际合作 (ICCR) 数据集可以使用SNOMED CT完全表示,以获得语义准确性和可计算性.
- 使用FHIR SDC促进了标准化和广泛的临床数据交换,尽管存在采用挑战,但提供了明确的实施途径.
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