Nicholson Nicholas, Perego Andrea
European Commission Joint Research Centre, Italy.
J Biomed Inform X. 2020 Sep;6:100074. doi: 10.1016/j.yjbinx.2020.100074. Epub 2020 Jun 13.
Enabling full interoperability within and between population-based patient-registry domains would open up access to a rich and unique source of health data for secondary data usage. Previous attempts to tackle patient-registry interoperability have met with varying degrees of success, but a unifying solution remains elusive. The purpose of this paper is to show by practical example how a solution is attainable via the implementation of an existing framework based of the concept of federated, semantic metadata registries. One important feature motivating the use of this framework is that it can be implemented gradually and independently within each patient-registry domain. By employing linked open data principles, the framework extends the ISO/IEC 11179 standard to provide both syntactic and semantic interoperability of data elements with the means of specifying automated extraction scripts for retrieval of data from different registry content models. The examples provided address the domain of European population-based cancer registries to demonstrate the feasibility of the approach. One of the examples shows how quick gains are derivable by allowing retrieval of aggregated core data sets. The other examples show how aggregated full sets of data and record-level data might also be retrieved from each local registry. An infrastructure of patient-registry domains adhering to the principles of the framework would provide the semantic contexts and inter-linkage of data necessary for automated search and retrieval of registry data. It would thereby also lay the foundation for making registry data serviceable to artificial intelligence (AI) applications.
在基于人群的患者注册领域内以及不同领域之间实现完全互操作性,将为二次数据使用打开获取丰富且独特的健康数据源的通道。以往解决患者注册互操作性的尝试取得了不同程度的成功,但统一的解决方案仍然难以捉摸。本文的目的是通过实际示例展示如何通过实施基于联邦语义元数据注册概念的现有框架来实现解决方案。促使使用该框架的一个重要特性是,它可以在每个患者注册领域内逐步且独立地实施。通过采用关联开放数据原则,该框架扩展了ISO/IEC 11179标准,以提供数据元素的句法和语义互操作性,并借助指定自动提取脚本的方式从不同的注册内容模型中检索数据。所提供的示例涉及欧洲基于人群的癌症注册领域,以证明该方法的可行性。其中一个示例展示了通过允许检索汇总的核心数据集如何能够迅速取得成效。其他示例展示了如何也能从每个本地注册中检索汇总的完整数据集和记录级数据。遵循该框架原则的患者注册领域基础设施将提供自动搜索和检索注册数据所需的数据语义上下文和相互关联。因此,它也将为使注册数据适用于人工智能(AI)应用奠定基础。