结构化查询到AQL:查询开放EHR数据利用基于FHIR的基础设施进行联合可行性查询
Lorenz Rosenau1, Josef Ingenerf1
1IT Center for Clinical Research, University of Lübeck, Lübeck, Germany.
Studies in health technology and informatics
|January 25, 2024
概括
数字医疗保健中的数据异质性限制了互操作性. 这项研究扩展了德国联邦查询基础设施,以支持openEHR与健康七级FHIR (联邦健康七级) 一起进行数据转换,增强跨机构的数据共享.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 互操作性标准 互操作性标准
背景情况:
- 来自专有系统的数据异质性是数字医疗保健的一个主要挑战.
- 现有的解决方案,如ETL流程和数据仓库,在机构层面提供有限的互操作性.
- 多样化的健康数据标准的扩散阻碍了跨机构的数据交换,用于诸如联合可行性查询等用例.
研究的目的:
- 为了证明现有的德国联邦可行性查询基础设施的扩展.
- 为了支持openEHR与健康水平七FHIR (联邦健康水平七) 一起,而不需要数据转换.
- 解决跨机构卫生数据使用案例中数据异质性的反复出现的问题.
主要方法:
- 利用一个中间查询格式.
- 调整格式以与FHIR搜索,临床质量语言 (CQL) 和原型查询语言 (AQL) 兼容.
- 将扩展的基础设施整合到现有的德国联邦可行性查询框架中.
主要成果:
- 德国联邦查询基础设施的成功扩展以容纳openEHR.
- 已证明能够在不经数据转换的情况下查询不同的健康数据标准 (FHIR和openEHR).
- 促进跨机构联合可行性查询的无数据互操作性.
结论:
- 拟议的方法有效地克服了联邦医疗保健查询中的数据异质性挑战.
- 通过使用中间查询格式扩展现有基础设施,提高了健康七级FHIR和openEHR之间的互操作性.
- 这种解决方案显著提高了大规模跨机构健康数据分析和研究的潜力.
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