以人口为基础的病人登记处的互操作性。

Q1 Computer Science
Journal of Biomedical Informatics: X Pub Date : 2020-09-01 Epub Date: 2020-06-13 DOI:10.1016/j.yjbinx.2020.100074
Nicholas Nicholson, Andrea Perego
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引用次数: 0

摘要

实现基于人口的患者登记域内部和之间的全面互操作性,将为二次数据使用提供丰富而独特的健康数据源。以往解决患者登记互操作性问题的尝试取得了不同程度的成功,但统一的解决方案仍然遥遥无期。本文旨在通过实际例子说明,如何通过实施基于联合语义元数据注册表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点是,它可以在每个患者注册域内逐步独立实施。通过采用链接开放数据原则,该框架扩展了 ISO/IEC 11179 标准,提供了数据元素的语法和语义互操作性,并可指定自动提取脚本,以便从不同的注册表内容模型中检索数据。所提供的示例涉及欧洲基于人口的癌症登记领域,以展示该方法的可行性。其中一个示例展示了如何通过检索汇总的核心数据集快速获得收益。其他示例则展示了如何从每个地方登记处检索汇总的全套数据和记录级数据。遵循该框架原则的患者登记处域基础设施将为登记处数据的自动搜索和检索提供必要的语义背景和数据的相互联系。因此,它还将为人工智能(AI)应用提供登记数据服务奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interoperability of population-based patient registries.

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.

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来源期刊
Journal of Biomedical Informatics: X
Journal of Biomedical Informatics: X Computer Science-Computer Science Applications
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