Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39231, first published .
Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Accuracy of COVID-19–Like Illness Diagnoses in Electronic Health Record Data: Retrospective Cohort Study

Journals

  1. Moura C, Neville A, Liao F, Wen B, Razak F, Roberts S, Verma A, Bernatsky S. Validity of hospital diagnostic codes to identify SARS-CoV-2 infections in reference to polymerase chain reaction results: a descriptive study. CMAJ Open 2023;11(5):E982 View
  2. Moura C, Morrison L, Hohl C, Grant L, Pilote L, Neville A, Hau J, Bernatsky S. Administrative data ICD-10 diagnostic codes identifies most lab-confirmed SARS-CoV-2 admissions but misses many discharged from the Emergency Department. Scientific Reports 2024;14(1) View
  3. Wieland-Jorna Y, Verheij R, Francke A, Coppen R, de Greeff S, Elffers A, Oosterveld-Vlug M. Reusing routine electronic health record data for nationwide COVID-19 surveillance in nursing homes: barriers, facilitators, and lessons learned. BMC Medical Informatics and Decision Making 2024;24(1) View