Your browser doesn't support javascript.
loading
Development of a COVID-19 Application Ontology for the ACT Network.
Visweswaran, Shyam; Samayamuthu, Malarkodi J; Morris, Michele; Weber, Griffin M; MacFadden, Douglas; Trevvett, Philip; Klann, Jeffrey G; Gainer, Vivian; Benoit, Barbara; Murphy, Shawn N; Patel, Lav; Mirkovic, Nebojsa; Borovskiy, Yuliya; Johnson, Robert D; Wyatt, Matthew C; Wang, Amy Y; Follett, Robert W; Chau, Ngan; Zhu, Wenhong; Abajian, Mark; Chuang, Amy; Bahroos, Neil; Reeder, Phillip; Xie, Donglu; Cai, Jennifer; Sendro, Elaina R; Toto, Robert D; Firestein, Gary S; Nadler, Lee M; Reis, Steven E.
Afiliación
  • 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.
  • Gainer V; Mass General Brigham, Boston, Massachusetts, USA.
  • Benoit B; Mass General Brigham, Boston, Massachusetts, USA.
  • Murphy SN; Research Information Science and Computing, Partners Healthcare, Boston, Massachusetts, USA.
  • Patel L; Harvard Medical School, Boston, Massachusetts, USA.
  • Mirkovic N; Mass General Brigham, Boston, Massachusetts, USA.
  • Borovskiy Y; University of Kansas Medical Center, Kansas City, Kansas, USA.
  • Johnson RD; University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA.
  • Wyatt MC; University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA.
  • Wang AY; The University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Follett RW; The University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Chau N; The University of Alabama at Birmingham, Birmingham, Alabama, USA.
  • Zhu W; University of California at Los Angeles, Los Angeles, California, USA.
  • Abajian M; University of California at Los Angeles, Los Angeles, California, USA.
  • Chuang A; University of California at San Diego, La Jolla, California, USA.
  • Bahroos N; University of Southern California, Los Angeles, California, USA.
  • Reeder P; University of Southern California, Los Angeles, California, USA.
  • Xie D; University of Southern California, Los Angeles, California, USA.
  • Cai J; University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Sendro ER; University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Toto RD; University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Firestein GS; The Chartis Group, Chicago, Illinois, USA.
  • Nadler LM; University of Texas Southwestern Medical Center, Dallas, Texas, USA.
  • Reis SE; University of California, San Diego, California, USA.
medRxiv ; 2021 Apr 14.
Article en En | MEDLINE | ID: mdl-33791734
ABSTRACT
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.
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos