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jsonld_context_files's Introduction

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 [email protected] and Emily Pfaff [email protected].

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.

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jsonld_context_files's Issues

Primitive value nodes shouldn't include type

See: string.context.jsonld for an example. The value tags for all primitive types should be the same:

  "value": {
      "@id": "fhir:value",
      "@type": "http://www.w3.org/2001/XMLSchema#string"
    },

(not "@id": "fhir.string.value",)

Context generator doesn't emit definitions for "see" attributes

FHIR attributes that reference attributes defined elsewhere in the model are not being generated in the contexts. As an example the detail and additem.adjudication elements from ClaimResponse:

image

Should produce the following in the JSON-LD

   "noteNumber": {
      "@id": "fhir:ClaimResponse.addItem.noteNumber",
      "@context": "positiveint.context.jsonld"
    },
    "detail": {
      "@id": "fhir:ClaimResponse.addItem.detail",
      "@context": "claimresponse.additem.detail.context.jsonld"
    },
    "adjudication": {
      "@id": "fhir.ClaimResponse.addItem.adjudication",
      "@context": "claimresponse.adjudication.context.jsonld"
    },

Change context files to reference a root context

Replace the namespace lines in the root contexts with:

"@imports": "root.context.jsonld",

This will allow us to maintain a complete set of namespaces for the FHIR context.

Add root.context.jsonld to the output directory or some other well known location.

Usage of the ontology with W3C Verifiable Credentials

Hi, firstly thanks for this project it is great work! I work in the Credentials Community Group working with technologies like W3C Verifiable Credentials and as of recent there has been much interest in applications of the technology for vaccination certificates. As a result I have begun the initiative to define a vocabulary for this purpose however ideally we would like to leverage more existing ontologies like HL7 FHIR so are open to redefining terms in the vocab to suit this and I believe we could leverage some of the great work you guys have done to date to accomplish this?

A couple of quick questions w.r.t your work

  1. How actively is the ontology maintained and how complete is it? It would be great to know this in reference to both R4 and R5
  2. It appears the current IRIs the context uses are not resolvable i.e I get a 404 on http://hl7.org/fhir/Patient.gender

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