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International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.
Brat, Gabriel A; Weber, Griffin M; Gehlenborg, Nils; Avillach, Paul; Palmer, Nathan P; Chiovato, Luca; Cimino, James; Waitman, Lemuel R; Omenn, Gilbert S; Malovini, Alberto; Moore, Jason H; Beaulieu-Jones, Brett K; Tibollo, Valentina; Murphy, Shawn N; Yi, Sehi L'; Keller, Mark S; Bellazzi, Riccardo; Hanauer, David A; Serret-Larmande, Arnaud; Gutierrez-Sacristan, Alba; Holmes, John J; Bell, Douglas S; Mandl, Kenneth D; Follett, Robert W; Klann, Jeffrey G; Murad, Douglas A; Scudeller, Luigia; Bucalo, Mauro; Kirchoff, Katie; Craig, Jean; Obeid, Jihad; Jouhet, Vianney; Griffier, Romain; Cossin, Sebastien; Moal, Bertrand; Patel, Lav P; Bellasi, Antonio; Prokosch, Hans U; Kraska, Detlef; Sliz, Piotr; Tan, Amelia L M; Ngiam, Kee Yuan; Zambelli, Alberto; Mowery, Danielle L; Schiver, Emily; Devkota, Batsal; Bradford, Robert L; Daniar, Mohamad; Daniel, Christel; Benoit, Vincent.
  • Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Weber GM; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Gehlenborg N; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Palmer NP; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Chiovato L; IRCCS ICS Maugeri, Pavia, Italy.
  • Cimino J; Department of Internal Medicine and Medical Therapy, University of Pavia, Pavia, Italy.
  • Waitman LR; UAB Informatics Institute, Birmingham, AL USA.
  • Omenn GS; Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA.
  • Malovini A; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI USA.
  • Moore JH; IRCCS ICS Maugeri, Pavia, Italy.
  • Beaulieu-Jones BK; Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.
  • Tibollo V; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.
  • Murphy SN; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Yi SL; IRCCS ICS Maugeri, Pavia, Italy.
  • Keller MS; Department of Neurology, Massachusetts General Hospital, Boston, MA USA.
  • Bellazzi R; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Hanauer DA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Serret-Larmande A; IRCCS ICS Maugeri, Pavia, Italy.
  • Gutierrez-Sacristan A; Department of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Holmes JJ; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
  • Bell DS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Mandl KD; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Follett RW; Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.
  • Klann JG; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
  • Murad DA; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA.
  • Scudeller L; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA USA.
  • Bucalo M; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA.
  • Kirchoff K; Department of Medicine, Massachusetts General Hospital, Boston, MA USA.
  • Craig J; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA USA.
  • Obeid J; Scientific Direction, IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano, Milano, Italy.
  • Jouhet V; BIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy.
  • Griffier R; Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA.
  • Cossin S; Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA.
  • Moal B; Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC USA.
  • Patel LP; Bordeaux University Hospital, Bordeaux, France.
  • Bellasi A; Bordeaux University Hospital, Bordeaux, France.
  • Prokosch HU; Bordeaux University Hospital, Bordeaux, France.
  • Kraska D; Bordeaux University Hospital, Bordeaux, France.
  • Sliz P; Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, KS USA.
  • Tan ALM; UOC Ricerca, Innovazione e Brand Reputation, ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Ngiam KY; Department of Medical Informatics, University of Erlangen-Nürnberg, Erlangen, Germany.
  • Zambelli A; Center for Medical Information and Communication Technology, University Hospital Erlangen, Erlangen, Germany.
  • Mowery DL; Computational Health Informatics Program, Boston Children's Hospital, Boston, MA USA.
  • Schiver E; Department of Biomedical Informatics, Harvard Medical School, Boston, MA USA.
  • Devkota B; National University Health Systems, Singapore, Singapore.
  • Bradford RL; Department of Oncology, ASST Papa Giovanni XXIII, Bergamo, Italy.
  • Daniar M; Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA.
  • Daniel C; Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI USA.
  • Benoit V; Penn Medicine, Data Analytics Center, Philadelphia, PA USA.
NPJ Digit Med ; 3: 109, 2020.
Article in English | MEDLINE | ID: covidwho-728999
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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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.
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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Language: English Journal: NPJ Digit Med Clinical aspect: Prognosis Year: 2020

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Language: English Journal: NPJ Digit Med Clinical aspect: Prognosis Year: 2020
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