Hong Na, Prodduturi Naresh, Wang Chen, Jiang Guoqian
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Stud Health Technol Inform. 2017;245:868-872.
In this study, we describe our efforts in building a clinical statistics and analysis application platform using an emerging clinical data standard, HL7 FHIR, and an open source web application framework, Shiny. We designed two primary workflows that integrate a series of R packages to enable both patient-centered and cohort-based interactive analyses. We leveraged Shiny with R to develop interactive interfaces on FHIR-based data and used ovarian cancer study datasets as a use case to implement a prototype. Specifically, we implemented patient index, patient-centered data report and analysis, and cohort analysis. The evaluation of our study was performed by testing the adaptability of the framework on two public FHIR servers. We identify common research requirements and current outstanding issues, and discuss future enhancement work of the current studies. Overall, our study demonstrated that it is feasible to use Shiny for implementing interactive analysis on FHIR-based standardized clinical data.
在本研究中,我们描述了利用新兴的临床数据标准HL7 FHIR和开源Web应用框架Shiny构建临床统计与分析应用平台的工作。我们设计了两个主要工作流程,整合了一系列R包,以实现以患者为中心和基于队列的交互式分析。我们利用Shiny和R在基于FHIR的数据上开发交互式界面,并将卵巢癌研究数据集作为用例来实现一个原型。具体而言,我们实现了患者索引、以患者为中心的数据报告与分析以及队列分析。我们通过在两个公共FHIR服务器上测试该框架的适应性来进行研究评估。我们识别了常见的研究需求和当前存在的突出问题,并讨论了当前研究的未来改进工作。总体而言,我们的研究表明,使用Shiny对基于FHIR的标准化临床数据进行交互式分析是可行的。