Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification

Na Hong, Kui Wang, Lixia Yao, Guoqian D Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The HL7 Fast Healthcare Interoperability Resources (FHIR) specification is emerging as a next generation standards framework for the exchange of electronic health records (EHR) data. The rich semantic representation and sophisticated structure definition of the FHIR requires a relatively deep learning curve to understand and utilize. The objective of our study is to design and develop a user-friendly interface for navigating and manipulating the FHIR specification. We prototyped a visualization platform for interactively exploring FHIR core resources and profiles. We evaluated the utility of the FHIR visualization platform using the evaluation metrics mainly focusing on its usability, interactive mechanisms and content expressiveness. We demonstrated that the visualization techniques are helpful for navigating the HL7 FHIR specification and aiding its profiling.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages26-30
Number of pages5
ISBN (Electronic)9781509048816
DOIs
StatePublished - Sep 8 2017
Event5th IEEE International Conference on Healthcare Informatics, ICHI 2017 - Park City, United States
Duration: Aug 23 2017Aug 26 2017

Other

Other5th IEEE International Conference on Healthcare Informatics, ICHI 2017
CountryUnited States
CityPark City
Period8/23/178/26/17

Keywords

  • Clinical data model
  • HL7 FHIR
  • Interactive
  • Visualization

ASJC Scopus subject areas

  • Health Informatics

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