Over the past several decades, naturally occurring and man-made mass casualty incidents (MCIs) have increased in frequency and number worldwide. To test the impact of such events on medical resources, simulations can provide a safe, controlled setting while replicating the chaotic environment typical of an actual disaster. A standardized method to collect and analyze data from mass casualty exercises is needed to assess preparedness and performance of the health care staff involved.
Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study
Luca Carenzo;Pier Luigi Ingrassia;Anna Sapienza;Francesco Della Corte;
2019-01-01
Abstract
Over the past several decades, naturally occurring and man-made mass casualty incidents (MCIs) have increased in frequency and number worldwide. To test the impact of such events on medical resources, simulations can provide a safe, controlled setting while replicating the chaotic environment typical of an actual disaster. A standardized method to collect and analyze data from mass casualty exercises is needed to assess preparedness and performance of the health care staff involved.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
jmir-2019-4-e12251.pdf
file ad accesso aperto
Licenza:
Creative commons
Dimensione
910.29 kB
Formato
Adobe PDF
|
910.29 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
