-
Loading metrics
Open Access
Peer-reviewed
Research Article
Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs
-
Thomas F. Osborne ,
Contributed equally to this work with: Thomas F. Osborne, Zachary P. Veigulis, David M. Arreola, Eliane Röösli, Catherine M. Curtin
Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
* E-mail: tosborne@stanford.edu
Affiliations US Department of Veterans Affairs, Palo Alto Healthcare System, Palo Alto, California, United States of America, Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America
⨯ -
Zachary P. Veigulis ,
Contributed equally to this work with: Thomas F. Osborne, Zachary P. Veigulis, David M. Arreola, Eliane Röösli, Catherine M. Curtin
Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – review & editing
Affiliation US Department of Veterans Affairs, Central Iowa Health Care System, Des Moines, Iowa, United States of America
⨯ -
David M. Arreola ,
Contributed equally to this work with: Thomas F. Osborne, Zachary P. Veigulis, David M. Arreola, Eliane Röösli, Catherine M. Curtin
Roles Data curation, Formal analysis, Software, Validation, Writing – review & editing
Affiliation US Department of Veterans Affairs, Palo Alto Healthcare System, Palo Alto, California, United States of America
⨯ -
Eliane Röösli ,
Contributed equally to this work with: Thomas F. Osborne, Zachary P. Veigulis, David M. Arreola, Eliane Röösli, Catherine M. Curtin
Roles Formal analysis, Methodology, Writing – review & editing
Affiliation Department of Medicine, Stanford University School of Medicine, Stanford, California, United States of America
⨯ -
Catherine M. Curtin
Contributed equally to this work with: Thomas F. Osborne, Zachary P. Veigulis, David M. Arreola, Eliane Röösli, Catherine M. Curtin
Roles Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing
Affiliations US Department of Veterans Affairs, Palo Alto Healthcare System, Palo Alto, California, United States of America, Department of Surgery, Stanford University School of Medicine, Stanford, California, United States of America
⨯
Automated EHR score to predict COVID-19 outcomes at US Department of Veterans Affairs
- Thomas F. Osborne,
- Zachary P. Veigulis,
- David M. Arreola,
- Eliane Röösli,
- Catherine M. Curtin
- Published: July 27, 2020
- https://doi.org/10.1371/journal.pone.0236554