Mobile DIORAMA-II: Infrastructure less Information Collection System for Mass Casualty Incidents

被引:0
|
作者
Ganz, Aura [1 ]
Schafer, James M. [1 ]
Yang, Zhuorui
Yi, Jun
Lord, Graydon [2 ]
Ciottone, Gregory [3 ]
机构
[1] Univ Massachusetts, Dept Elect & Comp Engn, Amherst, MA 01003 USA
[2] Intermedix, Washington, DC USA
[3] Harvard Univ, Sch Med, Harvard Humanitarian Initiat, Disaster Preparedness Propam, Boston, MA 02115 USA
关键词
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In this paper we introduce DIORAMA-II system that provides real time information collection in mass casualty incidents. Using a mobile platform that includes active RFID tags and readers as well as Smartphones, the system can determine the location of victims and responders. The system provides user friendly multi dimensional user interfaces as well as collaboration tools between the responders and the incident commander. We conducted two simulated mass casualty incidents with 50 victims each and professional responders. DIORAMA-II significantly reduces the evacuation time by up to 43% when compared to paper based triage systems. All responders that participated in all trials were very satisfied. They felt in control of the incident and mentioned that the system significantly reduced their stress level during the incident. They all mentioned that they would use the system in an actual incident.
引用
收藏
页码:2682 / 2685
页数:4
相关论文
共 50 条
  • [1] Interactive Visual Analytic Tools for Forensic Analysis of Mass Casualty Incidents using DIORAMA System
    Ganz, Aura
    Schafer, James
    Tang, Jingyan
    Yang, Zhuorui
    Yi, Jun
    Ciottone, Gregory
    2015 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST), 2015,
  • [2] Real-Time Scalable Resource Tracking Framework (DIORAMA) for Mass Casualty Incidents
    Ganz, Aura
    Schafer, James
    Yu, Xunyi
    Lord, Graydon
    Burstein, Jonathan
    Ciottone, Gregory R.
    INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2013, 4 (02) : 34 - 49
  • [3] A national system for disseminating information on victims during mass casualty incidents
    Adini, Bruria
    Peleg, Kobi
    Cohen, Robert
    Laor, Danny
    DISASTERS, 2010, 34 (02) : 542 - 551
  • [4] DIORAMA Enhances Efficiency of a Mass Casualty Incident: System and Experimentation
    Ganz, Aura
    Schafer, James M.
    Yang, Zhuorui
    Yi, Jun
    Ciottone, Gregory
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 2644 - 2647
  • [5] Mass casualty incidents in a hospital. Concepts, infrastructure and training
    Schweigkofler, U.
    Heinz, S. M.
    Hoffmann, R.
    TRAUMA UND BERUFSKRANKHEIT, 2018, 20 (03) : 171 - 176
  • [6] An Integrated Information and Decision-Support System for the Management of Mass Casualty Incidents
    Berndt, Henrik
    Herczeg, Michael
    IFAC PAPERSONLINE, 2019, 52 (19): : 199 - 204
  • [7] Casualty Collection in Mass-Casualty Incidents: A Better Method for Finding Proverbial Needles in a Haystack
    Knotts, Kristina E.
    Etengoff, Stuart
    Barber, Kimberly
    Golden, Ina J.
    PREHOSPITAL AND DISASTER MEDICINE, 2006, 21 (06) : 459 - 464
  • [8] Autonomous Mobile Platform for Enhanced Situational Awareness in Mass Casualty Incidents
    Yang, Dongyi
    Schafer, James
    Wang, Sili
    Ganz, Aura
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 898 - 901
  • [9] Routine Mobile Applications for Emergency Medical Services in Mass Casualty Incidents
    Mentler, T.
    Herczeg, M.
    Jent, S.
    Stoislow, M.
    Kindsmueller, M. C.
    Rumland, T.
    BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK, 2012, 57 : 784 - 787
  • [10] Infrastructure-less and Calibration-free RFID-based Localization Algorithm for Victim Tracking in Mass Casualty Incidents
    Yang, Zhuorui
    Ganz, Aura
    2016 IEEE SYMPOSIUM ON TECHNOLOGIES FOR HOMELAND SECURITY (HST), 2016,