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

• Egile Nagusiak: Kohane, Isaac S (Egilea), Aronow, Bruce J (Egilea), Avillach, Paul (Egilea), Beaulieu-Jones, Brett K (Egilea), Bellazzi, Riccardo (Egilea), Bradford, Robert L (Egilea), Brat, Gabriel A (Egilea), Cannataro, Mario (Egilea), Cimino, James J (Egilea), García-Barrio, Noelia (Egilea), Gehlenborg, Nils (Egilea), Ghassemi, Marzyeh (Egilea), Gutiérrez-Sacristán, Alba (Egilea), Hanauer, David A (Egilea), Holmes, John H (Egilea), Hong, Chuan (Egilea), Klann, Jeffrey G (Egilea), Loh, Ne Hooi Will (Egilea), Luo, Yuan (Egilea), Mandl, Kenneth D (Egilea), Daniar, Mohamad (Egilea), Moore, Jason H (Egilea), Murphy, Shawn N (Egilea), Neuraz, Antoine (Egilea), Ngiam, Kee Yuan (Egilea), Omenn, Gilbert S (Egilea), Palmer, Nathan (Egilea), Patel, Lav P (Egilea), Pedrera-Jiménez, Miguel (Egilea), Sliz, Piotr (Egilea), South, Andrew M (Egilea), Tan, Amelia Li Min (Egilea), Taylor, Deanne M (Egilea), Taylor, Bradley W (Egilea), Torti, Carlo (Egilea), Vallejos, Andrew K (Egilea), Wagholikar, Kavishwar B (Egilea), Weber, Griffin M (Egilea), Cai, Tianxi (Egilea)
• Formatua: Liburua
• Argitaratua: JMIR Publications, 2021-03-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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...