Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Modelling trauma physiology for large crisis management

Contributo in Atti di convegno
Data di Pubblicazione:
2016
Abstract:
In recent years, there has been a rise in Major Incidents with big impact on the citizens health and the society. Without the possibility of conducting live experiments when it comes to physical trauma, only an accurate in-silico reconstruction allows us to identify organizational solutions with the best possible chance of success, in correlation with the limitations on available resources (e.g. medical team, first responders, treatments, transports, and hospitals availability) and with the variability of the characteristic of event (e.g. type of incident, severity of the event and type of lesions). Utilizing modelling and simulation techniques, a simplified mathematical model of physiological evolution for patients involved in physical trauma incident scenarios has been developed and implemented. The model formalizes the dynamics, operating standards and practices of medical response and the main emergency service in the chain of emergency management during a Major Incident.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Health monitoring applications; Personalized patient treatment; Predictive models for adverse outcomes
Elenco autori:
DE GAETANO, Andrea; Panunzi, Simona; Borri, Alessandro
Autori di Ateneo:
BORRI ALESSANDRO
DE GAETANO ANDREA
PANUNZI SIMONA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/330972
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/record/display.url?eid=2-s2.0-85002750812&origin=inward
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)