FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model.

ABSTRACT:

Background

Knowledge graphs (KGs) play a key role to enable explainable artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs (CKGs) against heterogeneous electronic health records (EHRs) has been desired by the research and healthcare AI communities. From the standardization perspective, community-based standards such as the Fast Healthcare Interoperability Resources (FHIR) and the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) are increasingly used to represent and standardize EHR data for clinical data analytics, however, the potential of such a standard on building CKG has not been well investigated.

Objective

To develop and evaluate methods and tools that expose the OMOP CDM-based clinical data reposit

SUBMITTER: Xiao G 

PROVIDER: S-EPMC9561043 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature