Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications

Na Hong; Naresh Prodduturi; Chen Wang; Guoqian Jiang

doi:10.3233/978-1-61499-830-3-868

Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications

Na Hong, Naresh Prodduturi, Chen Wang, Guoqian Jiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	MEDINFO 2017
Subtitle of host publication	Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
Editors	Zhao Dongsheng, Adi V. Gundlapalli, Jaulent Marie-Christine
Publisher	IOS Press
Pages	868-872
Number of pages	5
ISBN (Electronic)	9781614998297
DOIs	https://doi.org/10.3233/978-1-61499-830-3-868
State	Published - 2017
Event	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: Aug 21 2017 → Aug 25 2017

Publication series

Name	Studies in Health Technology and Informatics
Volume	245
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country/Territory	China
City	Hangzhou
Period	8/21/17 → 8/25/17

Keywords

Data interpretation
Health level seven
Reference standards
Statistical

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-830-3-868

Cite this

Hong, N., Prodduturi, N., Wang, C., & Jiang, G. (2017). Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications. In Z. Dongsheng, A. V. Gundlapalli, & J. Marie-Christine (Eds.), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (pp. 868-872). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-868

Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications. / Hong, Na; Prodduturi, Naresh; Wang, Chen et al.
MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. ed. / Zhao Dongsheng; Adi V. Gundlapalli; Jaulent Marie-Christine. IOS Press, 2017. p. 868-872 (Studies in Health Technology and Informatics; Vol. 245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hong, N, Prodduturi, N, Wang, C & Jiang, G 2017, Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications. in Z Dongsheng, AV Gundlapalli & J Marie-Christine (eds), MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 245, IOS Press, pp. 868-872, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-868

Hong N, Prodduturi N, Wang C , Jiang G. Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications. In Dongsheng Z, Gundlapalli AV, Marie-Christine J, editors, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. p. 868-872. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-830-3-868

Hong, Na ; Prodduturi, Naresh ; Wang, Chen et al. / Shiny FHIR : An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. editor / Zhao Dongsheng ; Adi V. Gundlapalli ; Jaulent Marie-Christine. IOS Press, 2017. pp. 868-872 (Studies in Health Technology and Informatics).

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N1 - Funding Information: This study is supported in part by NIH grants U01 HG009450 and U01 CA180940. We thank Dr. Paul Kingsbury for his help with language editing. Publisher Copyright: © 2017 International Medical Informatics Association (IMIA) and IOS Press.

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N2 - 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.

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Shiny FHIR: An integrated framework leveraging shiny R and HL7 FHIR to empower standards-based clinical data applications

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