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 and/or toxic 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 and toxic 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. © 2015 ICST.

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 and/or toxic 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 and toxic 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.

Pacciani, E., Borri, A., Soave, M., Gui D, Magalini, S., Panunzi, S., et al. (2015). Modelling and simulation for Major Incidents. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015, Bogazici University, tur [10.4108/icst.pervasivehealth.2015.259178].

Modelling and simulation for Major Incidents

GAUDIO, PASQUALINO;MALIZIA, ANDREA;
2015

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 and/or toxic 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 and toxic 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. © 2015 ICST.
9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015
Bogazici University, tur
2015
9
Rilevanza internazionale
contributo
Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
Settore FIS/01 - Fisica Sperimentale
English
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 and/or toxic 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 and toxic 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.
health monitoring applications; personalized patient treatment; predictive models for adverse outcomes;
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963756731&partnerID=40&md5=ac992742094072c23e900eef7c0737b0
Intervento a convegno
Pacciani, E., Borri, A., Soave, M., Gui D, Magalini, S., Panunzi, S., et al. (2015). Modelling and simulation for Major Incidents. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015, Bogazici University, tur [10.4108/icst.pervasivehealth.2015.259178].
Pacciani, E; Borri, A; Soave, M; Gui, D; Magalini, S; Panunzi, S; Gaz, C; Gaudio, P; Malizia, A; De Gaetano, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/157925
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