Literature DB >> 31598581

An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling.

Na Hong1, Kui Wang1, Sizhu Wu2, Feichen Shen1, Lixia Yao1, Guoqian Jiang1.   

Abstract

The rich semantic representation and sophisticated structure definition of the HL7 Fast Healthcare Interoperability Resources (FHIR) specification requires relatively great efforts to understand and utilize. The objective of our study is to design, develop and evaluate an open-source and user-friendly visualization interface for exploring the FHIR specification. We prototyped an interactive visualization tool for navigating and manipulating the FHIR core resources, profiles and extensions. The utility of the tool was evaluated using evaluation metrics mainly focusing on its interactive mechanism and content expressiveness. We demonstrated that the visualization techniques are helpful for navigating the HL7 FHIR specification and aiding its profiling.

Entities:  

Keywords:  HL7 FHIR; clinical data model; interactive browsing; model profiling; visualization

Year:  2019        PMID: 31598581      PMCID: PMC6784845          DOI: 10.1007/s41666-018-0043-8

Source DB:  PubMed          Journal:  J Healthc Inform Res        ISSN: 2509-498X


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Journal:  IEEE Trans Vis Comput Graph       Date:  2011-12       Impact factor: 4.579

2.  Data standards in clinical research: gaps, overlaps, challenges and future directions.

Authors:  Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

3.  Automated Population of an i2b2 Clinical Data Warehouse using FHIR.

Authors:  Harold R Solbrig; Na Hong; Shawn N Murphy; Guoqian Jiang
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

4.  The D2Refine Platform for the Standardization of Clinical Research Study Data Dictionaries: Usability Study.

Authors:  Deepak Kumar Sharma; Kevin Jerrold Peterson; Na Hong; Guoqian Jiang
Journal:  JMIR Hum Factors       Date:  2018-07-25
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Review 1.  HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.

Authors:  Stephany N Duda; Nan Kennedy; Douglas Conway; Alex C Cheng; Viet Nguyen; Teresa Zayas-Cabán; Paul A Harris
Journal:  J Am Med Inform Assoc       Date:  2022-08-16       Impact factor: 7.942

  1 in total

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