Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, Utah, USA.
J Am Med Inform Assoc. 2021 Nov 25;28(12):2617-2625. doi: 10.1093/jamia/ocab201.
In many cases, genetic testing labs provide their test reports as portable document format files or scanned images, which limits the availability of the contained information to advanced informatics solutions, such as automated clinical decision support systems. One of the promising standards that aims to address this limitation is Health Level Seven International (HL7) Fast Healthcare Interoperability Resources Clinical Genomics Implementation Guide-Release 1 (FHIR CG IG STU1). This study aims to identify various data content of some genetic lab test reports and map them to FHIR CG IG specification to assess its coverage and to provide some suggestions for standard development and implementation.
We analyzed sample reports of 4 genetic tests and relevant professional reporting guidelines to identify their key data elements (KDEs) that were then mapped to FHIR CG IG.
We identified 36 common KDEs among the analyzed genetic test reports, in addition to other unique KDEs for each genetic test. Relevant suggestions were made to guide the standard implementation and development.
The FHIR CG IG covers the majority of the identified KDEs. However, we suggested some FHIR extensions that might better represent some KDEs. These extensions may be relevant to FHIR implementations or future FHIR updates.The FHIR CG IG is an excellent step toward the interoperability of genetic lab test reports. However, it is a work-in-progress that needs informative and continuous input from the clinical genetics' community, specifically professional organizations, systems implementers, and genetic knowledgebase providers.
在许多情况下,遗传检测实验室将其检测报告以可移植文档格式文件或扫描图像的形式提供,这限制了所包含信息的可用性,使其无法应用于自动化临床决策支持系统等高级信息学解决方案。旨在解决这一限制的有前途的标准之一是健康水平 7 国际(HL7)快速医疗互操作性资源临床基因组学实施指南-版本 1(FHIR CG IG STU1)。本研究旨在确定一些遗传实验室检测报告的各种数据内容,并将其映射到 FHIR CG IG 规范,以评估其覆盖范围,并为标准制定和实施提供一些建议。
我们分析了 4 种遗传检测的样本报告和相关专业报告指南,以确定其关键数据元素(KDEs),然后将其映射到 FHIR CG IG。
我们在分析的遗传检测报告中确定了 36 个常见的 KDEs,此外,每个遗传检测还有其他独特的 KDEs。提出了相关建议,以指导标准的实施和发展。
FHIR CG IG 涵盖了大多数已识别的 KDEs。然而,我们建议使用一些 FHIR 扩展,以更好地表示某些 KDEs。这些扩展可能与 FHIR 实现或未来的 FHIR 更新相关。FHIR CG IG 是遗传实验室检测报告互操作性的一个极好步骤。然而,它是一个正在进行的工作,需要临床遗传学界(特别是专业组织、系统实施者和遗传知识库提供者)提供信息丰富且持续的投入。