Literature DB >> 21659884

Data collection in a live mass casualty incident simulation: automated RFID technology versus manually recorded system.

Pier Luigi Ingrassia1, Luca Carenzo, Federico Lorenzo Barra, Davide Colombo, Luca Ragazzoni, Marco Tengattini, Federico Prato, Alessandro Geddo, Francesco Della Corte.   

Abstract

OBJECTIVES: To demonstrate the applicability and the reliability of a radio frequency identification (RFID) system to collect data during a live exercise.
METHODS: A rooftop collapse of a crowded building was simulated. Fifty-three volunteers were trained to perform as smart victims, simulating clinical conditions, using dynamic data cards, and capturing delay times and triage codes. Every victim was also equipped with a RFID tag. RFID antenna was placed at the entrance of the advanced medical post (AMP) and emergency department (ED) and recorded casualties entering the hospital.
RESULTS: A total of 12 victims entered AMP and 31 victims were directly transferred to the ED. 100% (12 of 12 and 31 of 31) of the time cards reported a manually written hospital admission time. No failures occurred in tag reading or data transfers. A correlation analysis was performed between the two methods plotting the paired RFID and manual times and resulted in a r=0.977 for the AMP and r=0.986 for the ED with a P value of less than 0.001.
CONCLUSION: We confirmed the applicability of RFID system to the collection of time delays. Its use should be investigated in every aspect of data collection (triage, treatments) during a disaster exercise.

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Year:  2012        PMID: 21659884     DOI: 10.1097/MEJ.0b013e328347a2c7

Source DB:  PubMed          Journal:  Eur J Emerg Med        ISSN: 0969-9546            Impact factor:   2.799


  5 in total

1.  Use of an agent-based simulation model to evaluate a mobile-based system for supporting emergency evacuation decision making.

Authors:  Yu Tian; Tian-Shu Zhou; Qin Yao; Mao Zhang; Jing-Song Li
Journal:  J Med Syst       Date:  2014-10-30       Impact factor: 4.460

2.  Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

Authors:  Sara B Donevant; Erik R Svendsen; Jane V Richter; Abbas S Tavakoli; Jean B R Craig; Nicholas D Boltin; Homayoun Valafar; Salvatore Robert DiNardi; Joan M Culley
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

3.  Applications of Business Analytics in Healthcare.

Authors:  Michael J Ward; Keith A Marsolo; Craig M Froehle
Journal:  Bus Horiz       Date:  2014-09

4.  An analysis of movement patterns in mass casualty incident simulations.

Authors:  Boris Tolg; Juergen Lorenz
Journal:  Adv Simul (Lond)       Date:  2020-10-09

5.  Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study.

Authors:  Laura Ozella; Laetitia Gauvin; Luca Carenzo; Marco Quaggiotto; Pier Luigi Ingrassia; Michele Tizzoni; André Panisson; Davide Colombo; Anna Sapienza; Kyriaki Kalimeri; Francesco Della Corte; Ciro Cattuto
Journal:  J Med Internet Res       Date:  2019-04-26       Impact factor: 5.428

  5 in total

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