Abstract
FHIR RDF enables operational healthcare data to be linked with RDF data from other communities. FHIR data can be serialized in either JSON, XML or RDF (Turtle), and tools are used to convert between formats. However, currently the tools for converting to/from FHIR RDF involve custom code. JSON-LD 1.1 @context files now have potential to reduce the cost of implementing and maintaining this FHIR RDF conversion. These @context files can be generated automatically during the FHIR specification build process. Used with a standard, off-the-shelf JSON-LD 1.1 processor, these @context files can do most of the work needed for this conversion, though a small amount of pre- or post-processing is still needed. Using the latest FHIR build and server implementations, we created a framework for the FHIR RDF specification implementation by developing two tools to demonstrate this process: a JSON-LD 1.1 @context generator that produces @context files from the FHIR specification; and a command-line tool for batch conversion between FHIR JSON and FHIR RDF.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 82-86 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 3127 |
| State | Published - 2022 |
| Event | 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2022 - Virtual, Leiden, Netherlands Duration: Jan 10 2022 → Jan 14 2022 |
Keywords
- HL7 FHIR
- Healthcare
- JSON-LD
- JSON-LD Context
- RDF
- ShEx
- Shape Expression
ASJC Scopus subject areas
- Computer Science(all)