What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask

S Kohane, Isaac; J Aronow, Bruce; Avillach, Paul; K Beaulieu-Jones, Brett; Bellazzi, Riccardo; L Bradford, Robert; A Brat, Gabriel; Cannataro, Mario; J Cimino, James; García-Barrio, Noelia; Gehlenborg, Nils; Ghassemi, Marzyeh; Gutiérrez-Sacristán, Alba; A Hanauer, David; H Holmes, John; Hong, Chuan; G Klann, Jeffrey; Hooi Will Loh, Ne; Luo, Yuan; D Mandl, Kenneth; Daniar, Mohamad; H Moore, Jason; N Murphy, Shawn; Neuraz, Antoine; Yuan Ngiam, Kee; S Omenn, Gilbert; Palmer, Nathan; P Patel, Lav; Pedrera-Jiménez, Miguel; Sliz, Piotr; M South, Andrew; Li Min Tan, Amelia; M Taylor, Deanne; W Taylor, Bradley; Torti, Carlo; K Vallejos, Andrew; B Wagholikar, Kavishwar; Consortium For Clinical Characterization Of COVID-19 By EHR (4CE), The; M Weber, Griffin; Cai, Tianxi

doi:10.2196/22219

Public

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask

Shared by NobleBlocks on Mar 2, 2021 • 12:00 AM UTC

Authors:

Isaac S Kohane

Bruce J Aronow

Paul Avillach

Abstract

Coincident with the tsunami of COVID-19–related publications, there has been a surge of studies using real-world data, including those obtained from the electronic health record (EHR). Unfortunately, several of these high-profile publications were retracted because of concerns regarding the soundnes...

Discussions