Shiny FHIR:An Integrated Framework Leveraging Shiny R and HL7 FHIR to Empower Standards-Based Clinical Data Applications

摘要：

　　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.

关键词： Data Interpretation,Statistical Health Level Seven Reference Standards

作者: Na Hong Naresh Prodduturi Chen Wang Guoqian Jiang

作者单位: Department of Health Sciences Research,Mayo Clinic,Rochester,MN,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 868-872

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）