About: International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
Creator	Bellazzi, Riccardo Kohane, Isaac Mandl, Kenneth Omenn, Gilbert Cimino, James Avillach, Paul Bellasi, Antonio Benoit, Vincent Bernaux, Melodie Bey, Romain Boeker, Martin Bosari, Silvano Brat, Gabriel Breant, Stephane Bucalo, Mauro Burgun, Anita Caucheteux, Charlotte Champ, Julien Chiovato, Luca Cossin, Sebastien Craig, Jean Daniel, Christel Dubiel, Julien Ganslandt, Thomas Gehlenborg, Nils Gramfort, Alexandre Gradinger, Tobias Grisel, Olivier Griffier, Romain Griffon, Nicolas Gutierrez-Sacristan, Alba Hanauer, David Haverkamp, Christian Hilka, Martin Holmes, John Jannot, Anne Jouhet, Vianney Kirchoff, Katie Klann, Jeffrey Lemaitre, Guillaume Leblanc, Judith Leprovost, Damien Malovini, Alberto Martel, Patricia Mensch, Arthur Moal, Bertrand Moreau, Thomas Moore, Jason Mowery, Danielle Murphy, Shawn Murad, Douglas Ngiam, Kee Obeid, Jihad Orlova, Nina Palmer, Nathan Paris, Nicolas Prokosch, Hans Salamanca, Elisa Sandrin, Arnaud Scudeller, Luigia Serre, Patricia Serret-Larmande, Arnaud Sliz, Piotr South, Andrew Tibollo, Valentina Varoquaux, Gael Waitman, Lemuel Wassermann, Demian Zambelli, Alberto Beaulieu-Jones, Brett Bell, Douglas Bradford, Robert Cai, Tianxi Cormont, Sylvie Daniar, Mohamad Devkota, Batsal Esteve, Loic Follett, Robert Keller, Mark Krantz, Ian Kraska, Detlef L' Yi, Sehi Patel, Lav Schiver, Emily Tan, Amelia Vie, Jill-Jênn Weber, Griffin
Source	PMC
abstract	We leveraged the largely untapped resource of electronic health record data to address critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19). To do this, we formed an international consortium (4CE) of 96 hospitals across five countries (www.covidclinical.net). Contributors utilized the Informatics for Integrating Biology and the Bedside (i2b2) or Observational Medical Outcomes Partnership (OMOP) platforms to map to a common data model. The group focused on temporal changes in key laboratory test values. Harmonized data were analyzed locally and converted to a shared aggregate form for rapid analysis and visualization of regional differences and global commonalities. Data covered 27,584 COVID-19 cases with 187,802 laboratory tests. Case counts and laboratory trajectories were concordant with existing literature. Laboratory tests at the time of diagnosis showed hospital-level differences equivalent to country-level variation across the consortium partners. Despite the limitations of decentralized data generation, we established a framework to capture the trajectory of COVID-19 disease in patients and their response to interventions.
has issue date	2020-08-19(xsd:dateTime)
bibo:doi	10.1038/s41746-020-00308-0
has license	cc-by
sha1sum (hex)	2054029b4d7764375288380ed78face93739e460
schema:url	https://doi.org/10.1038/s41746-020-00308-0
resource representing a document's title	International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software