@inproceedings{99549a1b94254e418142886aa43bdf3e,
title = "Visual FHIR: An Interactive Browser to Navigate HL7 FHIR Specification",
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.",
keywords = "Clinical data model, HL7 FHIR, Interactive, Visualization",
author = "Na Hong and Kui Wang and Lixia Yao and Guoqian Jiang",
note = "Funding Information: ACKNOWLEDGMENT This study is supported in part by NIH grants U01 HG009450 and U01 CA180940. Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Healthcare Informatics, ICHI 2017 ; Conference date: 23-08-2017 Through 26-08-2017",
year = "2017",
month = sep,
day = "8",
doi = "10.1109/ICHI.2017.54",
language = "English (US)",
series = "Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "26--30",
editor = "Mollie Cummins and Julio Facelli and Gerrit Meixner and Christophe Giraud-Carrier and Hiroshi Nakajima",
booktitle = "Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017",
}