IDEAS home Printed from https://ideas.repec.org/a/igg/jehmc0/v4y2013i2p34-49.html
   My bibliography  Save this article

Real-Time Scalable Resource Tracking Framework (DIORAMA) for Mass Casualty Incidents

Author

Listed:
  • Aura Ganz

    (Electrical and Computer Engineering Department, University of Massachusetts, Amherst MA, USA)

  • James Schafer

    (Electrical and Computer Engineering Department, University of Massachusetts, Amherst MA, USA)

  • Xunyi Yu

    (Electrical and Computer Engineering Department, University of Massachusetts, Amherst MA, USA)

  • Graydon Lord

    (The George Washington University, Washington, DC, USA)

  • Jonathan Burstein

    (Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA)

  • Gregory R. Ciottone

    (Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA)

Abstract

DIORAMA system which is using rapid information collection and accurate resource tracking can assist incident commanders in their attempt to bring order to the chaos as they direct rescue operations for Mass Casualty Incidents (MCI). This system makes use of active Radio Frequency Identification (RFID) tags to identify the location and status of the patients and responders involved in a MCI. The authors introduce DIORAMA’s hardware and software architecture as well as the trials they conducted with up to 40 human subjects. The authors show that the DIORAMA system can significantly reduce the patient’s evacuation time compared to paper triage, consequently reducing the patients’ mortality. Moreover, the evacuation completeness of the DIORAMA based evacuation is always 100% as opposed to the paper-based evacuation where a number of patients are left behind. The information provided by the DIORAMA system can improve the coordination of the response to better match supply (care providers, ambulances, medical equipment) with demand (number of patients, level of acuity).

Suggested Citation

  • Aura Ganz & James Schafer & Xunyi Yu & Graydon Lord & Jonathan Burstein & Gregory R. Ciottone, 2013. "Real-Time Scalable Resource Tracking Framework (DIORAMA) for Mass Casualty Incidents," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 4(2), pages 34-49, April.
  • Handle: RePEc:igg:jehmc0:v:4:y:2013:i:2:p:34-49
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jehmc.2013040103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jehmc0:v:4:y:2013:i:2:p:34-49. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.