Veratech for Health SL, Avenida del Puerto 237-1, Valencia 46011, Spain.
Department of Computer Engineering and Science, Universitat Jaume I, Spain.
Comput Methods Programs Biomed. 2020 Dec;197:105616. doi: 10.1016/j.cmpb.2020.105616. Epub 2020 Jun 25.
Effective sharing and reuse of Electronic Health Records (EHR) requires technological solutions which deal with different representations and different models of data. This includes information models, domain models and, ideally, inference models, which enable clinical decision support based on a knowledge base and facts. Our goal is to develop a framework to support EHR interoperability based on transformation and reasoning services intended for clinical data and knowledge.
Our framework is based on workflows whose primary components are reusable mappings. Key features are an integrated representation, storage, and exploitation of different types of mappings for clinical data transformation purposes, as well as the support for the discovery of new workflows. The current framework supports mappings which take advantage of the best features of EHR standards and ontologies. Our proposal is based on our previous results and experience working with both technological infrastructures.
We have implemented CLIN-IK-LINKS, a web-based platform that enables users to create, modify and delete mappings as well as to define and execute workflows. The platform has been applied in two use cases: semantic publishing of clinical laboratory test results; and implementation of two colorectal cancer screening protocols. Real data have been used in both use cases.
The CLIN-IK-LINKS platform allows the composition and execution of clinical data transformation workflows to convert EHR data into EHR and/or semantic web standards. Having proved its usefulness to implement clinical data transformation applications of interest, CLIN-IK-LINKS can be regarded as a valuable contribution to improve the semantic interoperability of EHR systems.
有效的电子健康记录（EHR）共享和重用需要技术解决方案，这些解决方案需要处理不同的表示形式和数据模型。这包括信息模型、领域模型，理想情况下还包括推理模型，这些模型可以基于知识库和事实为临床决策支持提供依据。我们的目标是开发一个基于转换和推理服务的 EHR 互操作性框架，旨在支持临床数据和知识。
我们的框架基于工作流，其主要组件是可重用的映射。关键特性是集成表示、存储和利用不同类型的映射，以实现临床数据转换的目的，以及支持新工作流的发现。当前的框架支持利用 EHR 标准和本体的最佳特性的映射。我们的建议基于我们之前的研究成果和使用两种技术基础设施的经验。
我们已经实现了 CLIN-IK-LINKS，这是一个基于网络的平台，允许用户创建、修改和删除映射，以及定义和执行工作流。该平台已应用于两个用例：临床实验室检验结果的语义发布；以及实施两种结直肠癌筛查方案。这两个用例都使用了真实数据。
CLIN-IK-LINKS 平台允许组合和执行临床数据转换工作流，以将 EHR 数据转换为 EHR 和/或语义 Web 标准。CLIN-IK-LINKS 已经证明了其在实现感兴趣的临床数据转换应用程序方面的有用性，可以被视为提高 EHR 系统语义互操作性的有价值的贡献。
