Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study

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

doi:10.2196/12251

Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study

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

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

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.

Lingua originale	Inglese
Rivista	JMIR. JOURNAL OF MEDICAL INTERNET RESEARCH
Volume	21
Numero di pubblicazione	4
DOI	https://doi.org/10.2196/12251
Stato di pubblicazione	Pubblicato - 2019

Keywords

contact patterns
contact networks
wearable proximity sensors
mass casualty incident
simulation
medical staff – patient interaction
patients’ flow

Accesso al documento

10.2196/12251

https://hdl.handle.net/11579/205642

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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.",

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AU - Gauvin, Laetitia

AU - Carenzo, Luca

AU - Quaggiotto, Marco

AU - Ingrassia, Pier Luigi

AU - Tizzoni, Michele

AU - Panisson, André

AU - Colombo, Davide

AU - SAPIENZA, Anna

AU - Kalimeri, Kyriaki

AU - Corte, Francesco Della

AU - Cattuto, Ciro

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KW - wearable proximity sensors

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KW - simulation

KW - medical staff – patient interaction

KW - patients’ flow

KW - contact patterns

KW - contact networks

KW - wearable proximity sensors

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KW - simulation

KW - medical staff – patient interaction

KW - patients’ flow

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ER -

Wearable proximity sensors for monitoring a mass casualty incident exercise: feasibility study

Abstract

Keywords

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