About: International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium

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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 Cimino, James Bell, S Avillach, Paul Beaulieu-Jones, K Bellasi, Antonio Benoit, Vincent Bernaux, Melodie Bey, Romain Boeker, Martin Brat, Gabriel Breant, Stephane Brett, ; Bucalo, Mauro Burgun, Anita Caucheteux, Charlotte Champ, Julien Chiovato, Luca Cossin, Sebastien Craig, Jean Daniel, Christel Detlef Kraska, ; Douglas, ; Dubiel, Julien Emily, ; Follett, W Ganslandt, Thomas Gehlenborg, Nils Gilbert, ; Gramfort, Alexandre Gradinger, Tobias Griffier, Romain Griffin, ; Griffon, Nicolas Gutierrez-Sacristan, Alba Hanauer, David Haverkamp, Christian Hilka, Martin Holmes, John Jannot, Anne Jill, ; Jouhet, Vianney Kee, Tan Keller, S Kenneth, ; Kirchoff, Katie Klann, Jeffrey Lav, ; Lemaitre, Guillaume Leblanc, Judith Leprovost, Damien Lm, Amelia Luigia Scudeller, ; Malovini, Alberto Mandl, D Mark, Yi Martel, Patricia Mensch, Arthur Moal, Bertrand Moreau, Thomas Moore, Jason Mowery, Danielle Murphy, Shawn Murad, Douglas Ngiam, Yuan Obeid, Jihad Olivier, ; Omenn, S Orlova, Nina Palmer, Nathan Paris, Nicolas Patel, P Prokosch, Hans Robert, ; Salamanca, Elisa Sandrin, Arnaud Sehi L', ; Serre, Patricia Serret-Larmande, Arnaud Sliz, Piotr Tibollo, Valentina Varoquaux, Gael Vie, Jen Waitman, Lemuel Wassermann, Demian Weber, M Zambelli, Alberto
Source	MedRxiv
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 5 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 comorbidities and 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	2020-04-18(xsd:dateTime)
bibo:doi	10.1101/2020.04.13.20059691
has license	medrxiv
sha1sum (hex)	a3c8ad255135342a720ec78981cd723cf0504f77
schema:url	https://doi.org/10.1101/2020.04.13.20059691
resource representing a document's title	International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium

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