This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (105) Electronic Health Records (1058) Clinical Information and Decision Making (1411) Machine Learning (1471) Decision Support for Health Professionals (1191) Safety and Error Prevention in Health (204)

Published on in Vol 10, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24642, first published .
Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study

Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study

Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study

Authors of this article:

Moein Enayati1 Author Orcid Image ;   Mustafa Sir2 Author Orcid Image ;   Xingyu Zhang3 Author Orcid Image ;   Sarah J Parker4 Author Orcid Image ;   Elizabeth Duffy4 Author Orcid Image ;   Hardeep Singh5 Author Orcid Image ;   Prashant Mahajan4 Author Orcid Image ;   Kalyan S Pasupathy1 Author Orcid Image
Article Authors Cited by (2) Tweetations (9) Metrics

Journals

  1. Harada T, Watari T, Watanuki S, Hiroshige J, Kushiro S, Miyagami T, Syusa S, Suzuki S, Hiyoshi T, Hasegawa S, Nabeshima S, Aihara H, Yamashita S, Tago M, Yoshimura F, Kunitomo K, Tsuji T, Hirose M, Tsuchida T, Shimizu T. Diagnostic error rates and associated factors for lower gastrointestinal perforation. Scientific Reports 2022;12(1) View
  2. Garber A, Garabedian P, Wu L, Lam A, Malik M, Fraser H, Bersani K, Piniella N, Motta-Calderon D, Rozenblum R, Schnock K, Griffin J, Schnipper J, Bates D, Dalal A. Developing, pilot testing, and refining requirements for 3 EHR-integrated interventions to improve diagnostic safety in acute care: a user-centered approach. JAMIA Open 2023;6(2) View