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

Non-Randomized Studies (funded, eHealth) (105) Electronic Health Records (1053) Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1186) Safety and Error Prevention in Health (203)

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

Moein Enayati   1 , PhD ;   Mustafa Sir   2 , PhD ;   Xingyu Zhang   3 , PhD ;   Sarah J Parker   4 , MPH ;   Elizabeth Duffy   4 , MA ;   Hardeep Singh   5 , MD, MPH ;   Prashant Mahajan   4 , MD, MPH, MBA ;   Kalyan S Pasupathy   1 , PhD

1 Health Care Delivery Research, Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States

2 Amazon Care, Seattle, WA, United States

3 Thomas E Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, United States

4 Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, United States

5 Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Baylor College of Medicine, Houston, TX, United States

Corresponding Author:

  • Kalyan S Pasupathy, PhD
  • Health Care Delivery Research
  • Kern Center for the Science of Health Care Delivery
  • Mayo Clinic
  • Harwick Building, Second Floor
  • 200 First St SW, HA2-43
  • Rochester, MN, 55905
  • United States
  • Phone: 1 (507) 293 2512
  • Email: Pasupathy.Kalyan@mayo.edu