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

mHealth in a Clinical Setting (674) Public (e)Health, Digital Epidemiology and Public Health Informatics (850) Mass Casualty Incidents and Preparedness (16)

Published on in Vol 6, No 6 (2018): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10727, first published .
Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study

Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study

Mobile Decision Support Tool for Emergency Departments and Mass Casualty Incidents (EDIT): Initial Study

Authors of this article:

Nicholas Boltin1 Author Orcid Image ;   Diego Valdes1 Author Orcid Image ;   Joan M. Culley2 Author Orcid Image ;   Homayoun Valafar1 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Nicholas Boltin   1 , PhD Candidate ;   Diego Valdes   1 ;   Joan M. Culley   2 , PhD, MPH, RN, CWOCN, FAAN ;   Homayoun Valafar   1 , PhD

1 Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, United States

2 College of Nursing, University of South Carolina, Columbia, SC, United States

Corresponding Author:

  • Homayoun Valafar, PhD
  • Department of Computer Science and Engineering
  • University of South Carolina
  • 315 Main Street
  • Columbia, SC, 29208
  • United States
  • Phone: 1 803-777-2404
  • Email: homayoun@cec.sc.edu