Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece.
Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School of Aristotle University of Thessaloniki, Thessaloniki, Greece.
J Biomed Inform. 2019 Jun;94:103179. doi: 10.1016/j.jbi.2019.103179. Epub 2019 Apr 24.
In this paper we present the methodology and decisions behind an implementation of a telehealth data management framework, aiming to support integrated care services for chronic and multimorbid patients. The framework leverages an OWL ontology, built upon HL7 FHIR resources, to provide storage and representation of semantically enriched EHR data following Linked Data principles. This is presented along with the realization of the persistent storage solution and communication web services that allow the management of EHR data, ensuring the validity and integrity of the exchanged patient data as self-describing ontology instances. The framework concentrates on flexibility and reusability, which is addressed by regarding the aforementioned ontology as a single point of change. This solution has been implemented in the scope of the EU project WELCOME for managing data in a telemonitoring system for patients with COPD and co-morbidities and was also successfully deployed for the INLIFE EU project with minimal effort. The results of the two applications suggest it can be adopted and properly adapted in a series of integrated care scenarios with minimal effort.
在本文中，我们介绍了实施远程医疗数据管理框架背后的方法和决策，旨在为慢性和多病共存患者提供综合护理服务。该框架利用基于 HL7 FHIR 资源构建的 OWL 本体，按照链接数据原则提供语义丰富的 EHR 数据的存储和表示。这是与持久存储解决方案和通信 Web 服务的实现一起呈现的，这些服务允许管理 EHR 数据，确保交换的患者数据的有效性和完整性，这些数据作为自描述本体实例。该框架专注于灵活性和可重用性，通过将上述本体视为单点更改来解决此问题。该解决方案已经在欧盟项目 WELCOME 中实施，用于管理 COPD 和合并症患者的远程监测系统中的数据，并且还在欧盟项目 INLIFE 中成功部署，几乎无需任何努力。这两个应用程序的结果表明，它可以在一系列综合护理场景中采用，并通过最小的努力进行适当的调整。
