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为德国创建结构化分子基因组学报告,作为 HL7 的基因组学报告实施指南的本地化适应。

Creation of a structured molecular genomics report for Germany as a local adaption of HL7's Genomic Reporting Implementation Guide.

机构信息

Core Facility Digital Medicine and Interoperability, Berlin Institute of Health (BIH) at Charité - Universitätsmedizin Berlin, Berlin, Germany.

Department of Human Genetics, Hannover Medical School, Hannover, Germany.

出版信息

J Am Med Inform Assoc. 2023 May 19;30(6):1179-1189. doi: 10.1093/jamia/ocad061.

DOI:10.1093/jamia/ocad061
PMID:37080557
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10198526/
Abstract

OBJECTIVE

The objective was to develop a dataset definition, information model, and FHIR® specification for key data elements contained in a German molecular genomics (MolGen) report to facilitate genomic and phenotype integration in electronic health records.

MATERIALS AND METHODS

A dedicated expert group participating in the German Medical Informatics Initiative reviewed information contained in MolGen reports, determined the key elements, and formulated a dataset definition. HL7's Genomics Reporting Implementation Guide (IG) was adopted as a basis for the FHIR® specification which was subjected to a public ballot. In addition, elements in the MolGen dataset were mapped to the fields defined in ISO/TS 20428:2017 standard to evaluate compliance.

RESULTS

A core dataset of 76 data elements, clustered into 6 categories was created to represent all key information of German MolGen reports. Based on this, a FHIR specification with 16 profiles, 14 derived from HL7®'s Genomics Reporting IG and 2 additional profiles (of the FamilyMemberHistory and RiskAssessment resources), was developed. Five example resource bundles show how our adaptation of an international standard can be used to model MolGen report data that was requested following oncological or rare disease indications. Furthermore, the map of the MolGen report data elements to the fields defined by the ISO/TC 20428:2017 standard, confirmed the presence of the majority of required fields.

CONCLUSIONS

Our report serves as a template for other research initiatives attempting to create a standard format for unstructured genomic report data. Use of standard formats facilitates integration of genomic data into electronic health records for clinical decision support.

摘要

目的

目的是为德国分子基因组学(MolGen)报告中包含的关键数据元素开发数据集定义、信息模型和 FHIR®规范,以促进电子健康记录中的基因组和表型集成。

材料和方法

专门的专家组参与了德国医学信息学倡议,审查了 MolGen 报告中包含的信息,确定了关键要素,并制定了数据集定义。HL7 的基因组学报告实施指南(IG)被采用为 FHIR®规范的基础,该规范经过了公开投票。此外,MolGen 数据集中的元素被映射到 ISO/TS 20428:2017 标准中定义的字段,以评估合规性。

结果

创建了一个包含 76 个数据元素的核心数据集,分为 6 个类别,以代表德国 MolGen 报告的所有关键信息。在此基础上,开发了一个具有 16 个配置文件的 FHIR 规范,其中 14 个源自 HL7®的基因组学报告 IG,另外 2 个配置文件(家族成员史和风险评估资源)。五个示例资源包展示了如何使用我们对国际标准的改编来对 MolGen 报告数据进行建模,这些数据是根据肿瘤学或罕见病指征请求的。此外,MolGen 报告数据元素到 ISO/TC 20428:2017 标准定义的字段的映射,证实了大多数所需字段的存在。

结论

我们的报告为其他试图为非结构化基因组报告数据创建标准格式的研究计划提供了模板。使用标准格式有助于将基因组数据集成到电子健康记录中,以支持临床决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/a65df7f577d3/ocad061f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/e669fd7eadb5/ocad061f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/ff8d490e9740/ocad061f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/6a1b6ccc546f/ocad061f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/bb100df7dd4b/ocad061f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/a65df7f577d3/ocad061f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/e669fd7eadb5/ocad061f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/ff8d490e9740/ocad061f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/6a1b6ccc546f/ocad061f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/bb100df7dd4b/ocad061f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14c5/10198526/a65df7f577d3/ocad061f4.jpg

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2
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3
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Sci Data. 2025 Feb 8;12(1):234. doi: 10.1038/s41597-025-04558-z.
4
Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards.助力个性化肿瘤学:分子肿瘤委员会数字支持与可视化工具的发展
BMC Med Inform Decis Mak. 2025 Jan 16;25(1):29. doi: 10.1186/s12911-024-02821-8.
5
[Interoperability Working Group: core dataset and information systems for data integration and data exchange in the Medical Informatics Initiative].[互操作性工作组:医学信息学计划中用于数据集成和数据交换的核心数据集及信息系统]
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