Title :
DIORAMA: Dynamic information collection and resource tracking architecture
Author :
Ganz, Aura ; Yu, Xunyi ; Schafer, James ; D´Hauwe, Sophie ; Nathanson, Larry A. ; Burstein, Jonathan ; Ciottone, Gregory R. ; Lord, Graydon
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Massachusetts, Amherst, MA, USA
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
DIORAMA is a real-time scalable decision support framework built on rapid information collection and accurate resource tracking functionalities. Using RFID technology the proposed system tracks emergency responders and victims at the disaster scene. DIORAMA improves the accuracy and decreases the time it takes rescuers to triage, treat and evacuate victims from a disaster scene, as compared to the traditional methods and process that involves using paper triage tags. The information can then be viewed from a website that shows a satellite image of the disaster area with icons representing the paramedics and victims.
Keywords :
biomedical engineering; decision support systems; disasters; emergency services; health care; medical information systems; radiofrequency identification; DIORAMA; RFID technology; disaster scene; dynamic information collection; emergency responders; rapid information collection; real time scalable decision support framework; resource tracking architecture; Accuracy; Computer architecture; Cost function; Fingerprint recognition; Radiofrequency identification; Servers; Software; Outdoor localization; active RFID; mass casualty incident; triage disaster; Computer Graphics; Decision Support Systems, Clinical; Disasters; Earthquakes; Emergency Medical Technicians; Humans; Internet; Models, Theoretical; Patients; Radio Frequency Identification Device; Software; Spacecraft; Triage; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5628007