Medical Center for Information and Communication Technology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Chair of Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Stud Health Technol Inform. 2021 Sep 21;283:104-110. doi: 10.3233/SHTI210547.
Harmonized and interoperable data management is a core requirement for federated infrastructures in clinical research. Institutions participating in such infrastructures often have to invest large degrees of time and resources in implementing necessary data integration processes to convert their local data to the required target structure. If the data is already available in an alternative shared data structure, the transformation from source to the desired target structure can be implemented once and then be distributed to all participants to reduce effort and harmonize results. The HL7® FHIR® standard is used as a basis for the shared data model of several medical consortia like DKTK and GBA. It is based on so-called resources which can be represented in XML. Oncological data in German university hospitals is commonly available in the ADT/GEKID format. From this common basis we conceptualized and implemented a transformation which accepts ADT/GEKID XML files and returns FHIR resources. We identified several problems with using the general ADT/GEKID structure in federated research infrastructures, as well as some possible pitfalls relating to the FHIR need for resource ids and focus on semantic coding which differs from the approach in the ADT/GEKID standard. To facilitate participation in federated infrastructures, we propose the ADT2FHIR transformation tool for partners with oncological data in the ADT/GEKID format.
协调和互操作的数据管理是临床研究中联合基础架构的核心要求。参与此类基础架构的机构通常需要投入大量的时间和资源来实施必要的数据集成流程,以将其本地数据转换为所需的目标结构。如果数据已经以替代的共享数据结构可用,则可以一次实现从源到所需目标结构的转换,然后将其分发给所有参与者,以减少工作量并协调结果。HL7® FHIR®标准被用作几个医疗联盟(如 DKTK 和 GBA)的共享数据模型的基础。它基于所谓的可以用 XML 表示的资源。德国大学医院的肿瘤学数据通常以 ADT/GEKID 格式提供。基于这个共同的基础,我们设计并实现了一个接受 ADT/GEKID XML 文件并返回 FHIR 资源的转换。我们发现,在联合研究基础架构中使用通用 ADT/GEKID 结构存在几个问题,以及与 FHIR 对资源 ID 的需求以及对语义编码的关注相关的一些潜在陷阱,而语义编码与 ADT/GEKID 标准的方法不同。为了促进参与联合基础架构,我们为具有 ADT/GEKID 格式肿瘤学数据的合作伙伴提出了 ADT2FHIR 转换工具。