面向眼科研究的FHIR规范:为多中心数据集设计EyeMatics核心数据集
Johannes Benedict Oehm1, Lars Fuhrmann2, Katja Hoffmann3
1Institut für Medizinische Informatik, Universität Münster, Münster, Germany.
Studies in health technology and informatics
|September 3, 2025
概括
为眼科数据整合开发特定的FHIR概况是可行的,但需要仔细考虑临床复杂性和术语. 这种方法有助于了解视网膜疾病的治疗效果.
科学领域:
- 医疗信息学
- 眼科 眼科
- 卫生数据标准
背景情况:
- EyeMatics 是德国医学信息学倡议 (MII) 的一个用例,专注于用内注射治疗视网膜疾病.
- 目的是通过整合多个医院的医疗数据来提高对治疗效果的理解.
- 整合依赖于当地快速医疗互操作性资源 (FHIR) 存储库,使用一套共同的FHIR配置文件.
研究的目的:
- 为整合眼科数据在EyeMatics使用案例中开发项目特定的FHIR配置文件.
- 解决复杂的眼科概念的表现,并建立FHIR数据建模的模式.
- 促进对常见视网膜疾病的治疗效果的分析.
主要方法:
- 组建一个医疗和技术专家小组,以确定特定项目的核心数据集.
- 从现有的数据模型,合成患者接触,UI表格和MII资料中编制数据集.
- 为眼科概念和横向性开发定制的FHIR配置文件和代码系统.
主要成果:
- 成功创建了FHIR配置文件来表示关键的眼科概念,包括视觉敏度和眼睛侧向性.
- 在FHIR观测资源中建立了一个代表眼睛横向性的共同模式.
- 开发的FHIR个人资料通过GitHub存储库公开提供.
结论:
- 项目特定的FHIR配置文件的开发是可以快速实现的,但如果没有协调,可能会导致碎片化.
- 眼科的临床复杂性需要偏离标准的FHIR模式,并突出了术语上的差距.
- 未来的模块应该将这些配置文件与国际标准相结合,以避免实施孤岛.
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