Development of a Coronavirus Disease 2019 (COVID-19) Application Ontology for the Accrual to Clinical Trials (ACT) network.

Autor:	Visweswaran S; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Samayamuthu MJ; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Morris M; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Weber GM; Department of Biomedical Informatics, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA., MacFadden D; The Harvard Clinical and Translational Science Center, Harvard Medical School, Boston, Massachusetts, USA., Trevvett P; The Harvard Clinical and Translational Science Center, Harvard Medical School, Boston, Massachusetts, USA., Klann JG; Laboratory of Computer Science, Department of Medicine, Mass General Brigham, Boston, Massachusetts, USA., Gainer VS; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, USA., Benoit B; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, USA., Murphy SN; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, USA.; Department of Neurology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts, USA., Patel L; Center for Medical Informatics and Enterprise Analytics, University of Kansas Medical Center, Kansas City, Kansas, USA., Mirkovic N; Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA., Borovskiy Y; Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA., Johnson RD; Center for Clinical and Translational Science, The University of Alabama at Birmingham, Birmingham, Alabama, USA., Wyatt MC; Center for Clinical and Translational Science, The University of Alabama at Birmingham, Birmingham, Alabama, USA., Wang AY; Departments of Medicine and Family and Community Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA., Follett RW; Clinical and Translational Institute, University of California at Los Angeles, Los Angeles, California, USA., Chau N; Clinical and Translational Institute, University of California at Los Angeles, Los Angeles, California, USA., Zhu W; Altman Clinical Translational Research Institute, University of California at San Diego, La Jolla, California, USA., Abajian M; Southern California Clinical and Translational Institute, University of Southern California, Los Angeles, California, USA., Chuang A; Southern California Clinical and Translational Institute, University of Southern California, Los Angeles, California, USA., Bahroos N; Southern California Clinical and Translational Institute, University of Southern California, Los Angeles, California, USA., Reeder P; University of Texas Southwestern Medical Center, Dallas, Texas, USA., Xie D; Academic Information Systems-Information Resources, 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 and Center for Translational Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA., Toto RD; Center for Medical Informatics and Enterprise Analytics, University of Kansas Medical Center, Kansas City, Kansas, USA., Firestein GS; Altman Clinical Translational Research Institute, University of California at San Diego, La Jolla, California, USA., Nadler LM; The Harvard Clinical and Translational Science Center, Harvard Medical School, Boston, Massachusetts, USA., Reis SE; Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jazyk:	angličtina
Zdroj:	JAMIA open [JAMIA Open] 2021 Apr 19; Vol. 4 (2), pp. ooab036. Date of Electronic Publication: 2021 Apr 19 (Print Publication: 2021).
DOI:	10.1093/jamiaopen/ooab036
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 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 severe acute respiratory syndrome coronavirus 2 laboratory tests. The ontology was deployed and validated on the ACT COVID-19 network that consists of 9 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. (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.)
Databáze:	MEDLINE
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