Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study.

Lorenz Rosenau Raphael W Majeed Josef Ingenerf Alexander Kiel Björn Kroll Thomas Köhler Hans-Ulrich Prokosch Julian Gruendner

Published in: JMIR medical informatics (2022)

We developed an automatic process to generate ontology and mapping files for FHIR-formatted data. Our tests found that this process works for most of our chosen FHIR profile criteria. The process established here works directly with FHIR profiles and a terminology server, making it extendable to other FHIR profiles and demonstrating that automatic ontology generation on FHIR profiles is feasible.

Keyphrases

healthcare
deep learning
coronavirus disease
sars cov
electronic health record
mass spectrometry
small molecule
neural network
artificial intelligence
respiratory syndrome coronavirus