FHIR

FHIR standardizes clinical healthcare data representation and exchange to enable interoperable sharing of clinical information for research and clinical use.


Key Features:

  • Meta-Common Data Model (CDM): FHIR functions as a meta-CDM providing a unified standard to represent clinical data across institutions for multisite clinical research collaborations.
  • Clinical Asset Mapping Program for FHIR (CAMP FHIR): CAMP FHIR transforms clinical data from diverse source models into FHIR by mapping each source variable to a corresponding FHIR element and representing value sets in FHIR terms.
  • Scalability and Resource Coverage: The approach supports a wide range of FHIR resources and is designed to accept input from any data model to accommodate additional resources over time.
  • Data Quality Assurance: Transformed FHIR data are validated against the original source, such as an enterprise clinical data warehouse, with validation demonstrated on approximately 23,000 asthma patient records.
  • Facilitation of Rare Data Sharing: Using FHIR as a CDM enables institutions to participate in rare-data sharing opportunities, supporting collaborations between academic medical centers and community hospitals.
  • Visualization for Specification Analysis: A visualization tool was developed to represent FHIR resources, profiles, and extensions for exploration and analysis of the specification.

Scientific Applications:

  • Translational Research: Standardized FHIR representations support cross-institutional clinical data sharing for downstream translational research applications.
  • Specification Analysis and Data Exploration: Visualization and analysis of FHIR resources, profiles, and extensions support examination of content expressiveness and model structure.

Methodology:

Mapping each source variable to a FHIR element and mapping value sets to FHIR terms; validation of transformed data against the original enterprise clinical data warehouse; use of interactive visualization techniques and content expressiveness evaluation metrics; prototyping and evaluation to assess the visualization tool's ability to facilitate navigation and manipulation of FHIR resources.

Topics

Details

Tool Type:
api
Added:
1/9/2020
Last Updated:
1/7/2021

Operations

Publications

Pfaff ER, Champion J, Bradford RL, Clark M, Xu H, Fecho K, Krishnamurthy A, Cox S, Chute CG, Overby Taylor C, Ahalt S. Fast Healthcare Interoperability Resources (FHIR) as a Meta Model to Integrate Common Data Models: Development of a Tool and Quantitative Validation Study. JMIR Medical Informatics. 2019;7(4):e15199. doi:10.2196/15199. PMID:31621639. PMCID:PMC6913576.

Hong N, Wang K, Wu S, Shen F, Yao L, Jiang G. An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling. Journal of Healthcare Informatics Research. 2019;3(3):329-344. doi:10.1007/s41666-018-0043-8. PMID:31598581. PMCID:PMC6784845.

PMID: 31598581
PMCID: PMC6784845
Funding: - National Institutes of Health: HG009450 - The Mayo Clinic Center for Clinical and Translational Science grant: UL1TR002377 - U.S. National Library of Medicine: 5K01LM012102

Documentation