Development of a COVID-19 Application Ontology for the ACT Network.

Autor: Visweswaran S; University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Samayamuthu MJ; University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Morris M; University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Weber GM; Harvard Medical School, Boston, Massachusetts, USA., MacFadden D; Harvard Medical School, Boston, Massachusetts, USA., Trevvett P; Harvard Medical School, Boston, Massachusetts, USA., Klann JG; Harvard Medical School, Boston, Massachusetts, USA.; Mass General Brigham, Boston, Massachusetts, USA., Gainer V; Mass General Brigham, Boston, Massachusetts, USA., Benoit B; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, USA., Murphy SN; Harvard Medical School, Boston, Massachusetts, USA.; Mass General Brigham, Boston, Massachusetts, USA., Patel L; University of Kansas Medical Center, Kansas City, Kansas, USA., Mirkovic N; University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA., Borovskiy Y; University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA., Johnson RD; The University of Alabama at Birmingham, Birmingham, Alabama, USA., Wyatt MC; The University of Alabama at Birmingham, Birmingham, Alabama, USA., Wang AY; The University of Alabama at Birmingham, Birmingham, Alabama, USA., Follett RW; University of California at Los Angeles, Los Angeles, California, USA., Chau N; University of California at Los Angeles, Los Angeles, California, USA., Zhu W; University of California at San Diego, La Jolla, California, USA., Abajian M; University of Southern California, Los Angeles, California, USA., Chuang A; University of Southern California, Los Angeles, California, USA., Bahroos N; University of Southern California, Los Angeles, California, USA., Reeder P; University of Texas Southwestern Medical Center, Dallas, Texas, USA., Xie D; University of Texas Southwestern Medical Center, Dallas, Texas, USA., Cai J; University of Texas Southwestern Medical Center, Dallas, Texas, USA., Sendro ER; The Chartis Group, Chicago, Illinois, USA., Toto RD; University of Texas Southwestern Medical Center, Dallas, Texas, USA., Firestein GS; University of California, San Diego, California, USA., Nadler LM; Harvard Medical School, Boston, Massachusetts, USA., Reis SE; University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jazyk: angličtina
Zdroj: MedRxiv : the preprint server for health sciences [medRxiv] 2021 Apr 14. Date of Electronic Publication: 2021 Apr 14.
DOI: 10.1101/2021.03.15.21253596
Abstrakt: Clinical data networks that leverage large volumes of data in electronic health records (EHRs) are significant resources for research on coronavirus disease 2019 (COVID-19). Data harmonization is a key challenge in seamless use of multisite EHRs for COVID-19 research. We developed a COVID-19 application ontology in the national Accrual to Clinical Trials (ACT) network that enables harmonization of data elements that that are critical to COVID-19 research. The ontology contains over 50,000 concepts in the domains of diagnosis, procedures, medications, and laboratory tests. In particular, it has computational phenotypes to characterize the course of illness and outcomes, derived terms, and harmonized value sets for SARS-CoV-2 laboratory tests. The ontology was deployed and validated on the ACT COVID-19 network that consists of nine academic health centers with data on 14.5M patients. This ontology, which is freely available to the entire research community on GitHub at https://github.com/shyamvis/ACT-COVID-Ontology, will be useful for harmonizing EHRs for COVID-19 research beyond the ACT network.
Databáze: MEDLINE