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

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, US

2 Amazon Care , Seattle, WA, US

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

4 Department of Emergency Medicine, University of Michigan , Ann Arbor, MI, US

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

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
  • US
  • Phone: 1 (507) 293 2512
  • Email: Pasupathy.Kalyan@mayo.edu