基于物联网云平台和HL7 FHIR的互联个人健康记录生态系统

Jae-Ki Hong, Peter Morris, Jong-Kyoun Seo
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引用次数: 26

摘要

个人健康记录(PHR)系统尽管经过多年的各种实施,但尚未达到大规模采用。在本文中,我们研究了当前PHR的局限性,并提出了一个遵循医疗数据通信标准和物联网云平台构建的互连PHR系统。新的生态系统包括:一个可互操作的医院信息系统,用于存储电子病历(emr)并通过电子邮件将其传输到PHR系统;支持大数据分析服务加密数据共享的公共云;基于物联网模块的PHR网关存储库,可与医院和公共云通信;以及一个管理和查看PHR的移动应用程序。该系统可以存储和共享基于医疗保健通信标准“HL7 FHIR”的原始EMR和生命日志数据。为了验证互联PHR系统的可用性,一项临床试验正在进行中,以医院提供的个人基因组数据和移动应用程序收集的饮食和运动日志为基础,开发一种肥胖管理模型。我们展示了拟议的基于物联网云的PHR生态系统是如何互操作和实用的,以促进医疗保健大数据分析服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interconnected Personal Health Record Ecosystem Using IoT Cloud Platform and HL7 FHIR
Personal health record (PHR) systems have yet to reach mass adoption despite years of varied implementations. In this paper, we examine the limitations of current PHRs and propose an interconnected PHR system built in adherence with healthcare data communication standards and an IoT Cloud platform. The new ecosystem includes: an interoperable hospital information system to store electronic medical records (EMRs) and transfer them to a PHR system via email; a public cloud that supports encrypted data sharing for big data analysis services; a PHR gateway repository based on an IoT module which communicates with hospitals and public clouds; and a mobile application to manage and view PHR. This system can store and share raw EMR and life log data based on the healthcare communication standard "HL7 FHIR". To validate the usability of the interconnected PHR system, a clinical trial is underway to develop an obesity management model from individuals' hospital-provided genomic data, on the one hand, and diet and exercise logs gathered by the mobile application, on the other. We demonstrate how the proposed IoT Cloud based PHR ecosystem is interoperable and practical for promoting healthcare big data analysis services.
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