Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Abstract BackgroundReal-world data reported by patients and extracted from electronic health records (EHRs) are increasingly leveraged for research, policy, and clinical decision-making. However, it is not always obvious the extent to which these 2 data sources agree with each...

Full description

Saved in:
Bibliographic Details
Main Authors: Elizabeth Crull, Emily C O'Brien, Pavel Antiperovitch, Kirubel Asfaw, Alexis L Beatty, Djeneba Audrey Djibo, Alan F Kaul, John Kornak, Gregory M Marcus, Madelaine Faulkner Modrow, Jeffrey E Olgin, Jaime Orozco, Soo Park, Noah Peyser, Mark J Pletcher, Thomas W Carton
Format: Article
Language:English
Published: JMIR Publications 2025-07-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2025/1/e58097
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://formative.jmir.org/2025/1/e58097

Similar Items