Literature DB >> 27653041

Simulation of Trauma Incidents : Modelling the Evolution of Patients and Resources.

Alessandro Borri1, Simona Panunzi2, Rachele Brancaleoni3, Daniele Gui3, Sabina Magalini3, Claudio R Gaz2, Andrea De Gaetano2.   

Abstract

Mathematical modeling and simulation with medical applications has gained much interest in the last few years, mainly due to the widespread availability of low-cost technology and computational power. This paper presents an integrated platform for the in-silico simulation of trauma incidents, based on a suite of interacting mathematical models. The models cover the generation of a scenario for an incident, a model of physiological evolution of the affected individuals, including the possible effect of the treatment, and a model of evolution in time of the required medical resources. The problem of optimal resource allocation is also investigated. Model parameters have been identified according to the expertise of medical doctors and by reviewing some related literature. The models have been implemented and exposed as web services, while some software clients have been built for the purpose of testing. Due to its extendability, our integrated platform highlights the potential of model-based simulation in different health-related fields, such as emergency medicine and personal health systems. Modifications of the models are already being used in the context of two funded projects, aiming at evaluating the response of health systems to major incidents with and without model-based decision support.

Entities:  

Keywords:  Mathematical modeling; Personalized medicine; Simulation; Trauma incidents; Web services

Mesh:

Year:  2016        PMID: 27653041     DOI: 10.1007/s10916-016-0599-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  12 in total

Review 1.  Decision analysis in critical care medicine.

Authors:  D B Chalfin
Journal:  Crit Care Clin       Date:  1999-07       Impact factor: 3.598

2.  The path to personalized medicine.

Authors:  Margaret A Hamburg; Francis S Collins
Journal:  N Engl J Med       Date:  2010-06-15       Impact factor: 91.245

3.  Refining surge capacity: conventional, contingency, and crisis capacity.

Authors:  John L Hick; Joseph A Barbera; Gabor D Kelen
Journal:  Disaster Med Public Health Prep       Date:  2009-06       Impact factor: 1.385

Review 4.  Genome-based prediction of common diseases: advances and prospects.

Authors:  A Cecile J W Janssens; Cornelia M van Duijn
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

5.  The role of mathematical modeling in medical research: "research without patients?".

Authors:  R B Chambers
Journal:  Ochsner J       Date:  2000-10

Review 6.  Mathematical models in decision analysis.

Authors:  E Tom; K A Schulman
Journal:  Infect Control Hosp Epidemiol       Date:  1997-01       Impact factor: 3.254

7.  The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care.

Authors:  S P Baker; B O'Neill; W Haddon; W B Long
Journal:  J Trauma       Date:  1974-03

8.  A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test.

Authors:  Simona Panunzi; Pasquale Palumbo; Andrea De Gaetano
Journal:  Theor Biol Med Model       Date:  2007-09-12       Impact factor: 2.432

9.  Outcome prediction modelling for trauma patients: a German perspective.

Authors:  Omar Bouamra; Mehdi M Lesko
Journal:  Crit Care       Date:  2014-10-31       Impact factor: 9.097

Review 10.  Advanced Trauma Life Support. ABCDE from a radiological point of view.

Authors:  Digna R Kool; Johan G Blickman
Journal:  Emerg Radiol       Date:  2007-06-12
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