Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable.

Harold R Solbrig, Harold R Solbrig, Eric Prud'hommeaux, David Booth, Cory M Endle, Daniel J Stone, Guoqian Jiang

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.Journal of biomedical informatics · 2022
Article
Development of a FHIR RDF data transformation and validation framework and its evaluation.Journal of biomedical informatics · 2021
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Harold R SolbrigJohns Hopkins University, Baltimore, MD.

Eric Prud'hommeauxJaneiro Digital, Boston, MA.

David BoothYosemite Project, Somerville, MA.

Cory M EndleMayo Clinic, Rochester, MN.

Daniel J StoneMayo Clinic, Rochester, MN.

Guoqian JiangMayo Clinic, Rochester, MN.

Funding

Tools for standardizing clinical research metadata using HL7 FHIRU01HG009450 · NHGRI · MAYO CLINIC ROCHESTER · PI JIANG, GUOQIAN · 2016 to 2018

$1.4M

FHIRCat: Enabling the Semantics of FHIR and Terminologies for Clinical and Translational ResearchR56EB028101 · NIBIB · MAYO CLINIC ROCHESTER · PI JIANG, GUOQIAN · 2019 to 2019

$601k

NHGRI NIH HHS U01 HG009450NIBIB NIH HHS R56 EB028101

6 · The paper itself

Abstract

This study developed and evaluated a JSON-LD 1.1 approach to automate the Resource Description Framework (RDF) serialization and deserialization of Fast Healthcare Interoperability Resources (FHIR) data, in preparation for updating the FHIR RDF standard. We first demonstrated that this JSON-LD 1.1 approach can produce the same output as the current FHIR RDF standard. We then used it to test, document and validate several proposed changes to the FHIR RDF specification, to address usability issues that were uncovered during trial use. This JSON-LD 1.1 approach was found to be effective and more declarative than the existing custom-code-based approach, in converting FHIR data from JSON to RDF and vice versa. This approach should enable future FHIR RDF servers to be implemented and maintained more easily.

Indexed as

Programming LanguagesAlgorithmsDelivery of Health CareElectronic Health RecordsHealth FacilitiesHealth Information InteroperabilityHealth Level SevenHumansInformation DisseminationSemantics

Identifiers

PMID33936490

PMCPMC8075421

What OpenQuestion holds

Textmetadata

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.