Health Informatics Research Group, Department of Computer Science, City University of London, EC1V 0HB, London, UK.
J Med Syst. 2017 Oct 28;41(12):195. doi: 10.1007/s10916-017-0838-9.
The aim of our study was to enable better interoperability between Personal Health Record (PHR) and Electronic Health Record (EHR) systems and vice versa. A multi-layer architectural model that resides between a PHR and EHR system has been developed. The model consists of an ontology-driven information model and a set of transformation rules that work in conjunction to process data exported from a PHR or EHR system and prepare it accordingly for the receiving system. The model was evaluated by executing a set of case study scenarios containing data from both a PHR and an EHR system. This allowed various challenges to emerge and revealed gaps in current standards in use. The proposed information model offers a number of advantages. Altering only the information model can incorporate modifications to either a PHR or EHR system. The model uses classes and attributes to define how data is captured which allows greater flexibility in how data can be manipulated by receiving systems.
我们的研究目的是实现个人健康记录（PHR）和电子健康记录（EHR）系统之间更好的互操作性，反之亦然。为此开发了一种位于 PHR 和 EHR 系统之间的多层架构模型。该模型由一个本体驱动的信息模型和一组转换规则组成，它们协同工作，处理从 PHR 或 EHR 系统导出的数据，并对其进行相应的准备，以便接收系统使用。通过执行一组包含来自 PHR 和 EHR 系统的数据的案例研究场景对该模型进行了评估。这使得各种挑战浮出水面，并揭示了当前使用的标准中的差距。所提出的信息模型具有许多优势。仅更改信息模型就可以将修改合并到 PHR 或 EHR 系统中。该模型使用类和属性来定义如何捕获数据，这允许接收系统以更大的灵活性处理数据。
