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

BackgroundElectronic health record (EHR) data provide a unique opportunity to study the epidemiology of COVID-19, clinical outcomes of the infection, comparative effectiveness of therapies, and vaccine effectiveness but require a well-defined computable phenotype of COVID-19–...

Full description

Bibliographic Details
Main Authors: Suchitra Rao, Catherine Bozio, Kristen Butterfield, Sue Reynolds, Sarah E Reese, Sarah Ball, Andrea Steffens, Maria Demarco, Charlene McEvoy, Mark Thompson, Elizabeth Rowley, Rachael M Porter, Rebecca V Fink, Stephanie A Irving, Allison Naleway
Format: Article
Language:English
Published: JMIR Publications 2023-01-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2023/1/e39231

Internet

https://formative.jmir.org/2023/1/e39231

Similar Items