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International Journal of Telemedicine and Applications
Volume 2016 (2016), Article ID 9362067, 10 pages
http://dx.doi.org/10.1155/2016/9362067
Research Article

Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events

1Electrical and Computer Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, USA
2Intermedix Corporation, 1800 S. Bell Street, Suite 210, Arlington, VA 22202, USA
3Disaster Preparedness Program, Harvard Humanitarian Initiative, Harvard University, Boston, MA 02215, USA

Received 30 October 2015; Revised 15 February 2016; Accepted 24 March 2016

Academic Editor: Cristiana Larizza

Copyright © 2016 Aura Ganz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Aura Ganz, James M. Schafer, Zhuorui Yang, Jun Yi, Graydon Lord, and Gregory Ciottone, “Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events,” International Journal of Telemedicine and Applications, vol. 2016, Article ID 9362067, 10 pages, 2016. doi:10.1155/2016/9362067