/FHIRCat

Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research

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FHIRCat - Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research

Specific Aims

The objective of this project is to design, develop and evaluate a novel informatics platform known as FHIRCat that leverages Semantic Web and Linked Data technologies, FHIR models/profiles, and ontologies for effective standards-based data integration and distributed analytics, enabling high-quality reproducible clinical and translational research. Our specific aims are:

  • Aim 1: Develop FHIR ShEx/RDF specification and tools for FHIR data validation.
  • Aim 2: Standardize and deploy the RDF-based data transformation between external models and FHIR.
  • Aim 3: Build and evaluate a FHIR ontology-based data access (OBDA) system interoperable with clinical data repositories across institutions in partnership with the CTSA National Center for Data to Health (CD2H).

This work is supported by funding from NIH BD2K (U01 HG009450) and FHIRCat (R56 EB028101, R01 EB030529).

For more information, contact Guoqian Jiang jiang.guoqian@mayo.edu and Emily Pfaff epfaff@email.unc.edu.

Publications/Presentations

Title Type Location
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration Publication J Biomed Inform. 2022 Jan 22;127:104002.doi: 10.1016/j.jbi.2022.104002.
Consistency Check of the FHIR W5 Classification System in FHIR Modeling: Towards Improved Semantic Representation of FHIR RDF Podium Abstract AMIA 2022 Informatics Summit Oral Presentations
Implementing a New FHIR RDF Specification for Semantic Clinical Data Using a JSON-LD-based Approach Publication SWAT4HCLS, 2022
FHIR RDF Data Transformation and Validation Framework and Clinical Knowledge Graphs: Towards Explainable AI in Healthcare Tutorial SWAT4HCLS, 2022
Building Clinical Knowledge Graphs in FHIR RDF for Explainable AI Applications in Healthcare Poster PSB 2022
Development of a FHIR RDF data transformation and validation framework and its evaluation Publication J Biomed Inform. 2021 May;117:103755. doi: 10.1016/j.jbi.2021.103755. Epub 2021 Mar 26.
Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data Publication AMIA Annu Symp Proc. 2021 Jan 25;2020:1140-1149.eCollection 2020.