| Literature DB >> 29295223 |
Na Hong1, Naresh Prodduturi1, Chen Wang1, Guoqian Jiang1.
Abstract
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.Entities:
Keywords: Data Interpretation; Health Level Seven; Reference Standards; Statistical
Mesh:
Year: 2017 PMID: 29295223 PMCID: PMC5939961
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630