Banca de QUALIFICAÇÃO: ERIC LUCAS DOS SANTOS CABRAL

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : ERIC LUCAS DOS SANTOS CABRAL
DATA : 13/03/2018
HORA: 09:00
LOCAL: Sala 222- CTEC
TÍTULO:

SAMU Natal Provisional Support Points (PAP's) Optimization Model

PALAVRAS-CHAVES:

Emergency Medical Services, Ambulances, Optimization, Simulation, Reaction Time

PÁGINAS: 70
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Produção
RESUMO:

The growth of the urban population raises the concern of municipal public managers to provide emergency medical care services that meet the needs of emergency pre-hospital medical care. Estimates indicate that by 2050, urban areas should have a population of 6.29 billion people, equivalent to 69% of the world's total population. There is a significant number of traffic accidents and other serious incidents such as heart attacks, drowning, fire drilling and disasters (floods, landslides, earthquakes). Studies carried out in Latin America (mainly in Brazil) show that most of the deaths in this locality are caused by urban violence and vehicular traffic. In Brazil, numbers that endorse this assertion show that in the respective country in 2014 there were 43,075 deaths related to traffic and 44,861 homicides with fatal victims. It was verified in the year 2015 that the total number of calls per zone was 19,588, that is, one approximately 1,632 calls received per month, in Natal / RN. The average response time of deaths that resulted in death within the vehicle was over 36 minutes, with a total of 32 deaths in 2015. The mean response time of calls that resulted in death of the patient at home was greater than 30 minutes and totaled 474 deaths. Lastly, the mean response time of the calls that resulted in death on the public highway was over 24 minutes, resulting in 161 deaths in the year 2015. Response time is the fundamental indicator of this service. This number is defined as the time between the notification of an occurrence and the arrival of the ambulance in the scene, being the primary emergency medical service performance measure. According to WHO, an ideal response time is less than 8 minutes. In order to reduce the time of ambulance responses, in addition to the choice of places they will be based, it is of utmost importance to choose which ambulance should attend the call. The literature reports that there are several ways to reduce ambulance response time: one is to establish dynamic repositioning and dispatch ambulances that are moving. In this scenario, the objective of this dissertation is to apply a dual coverage mathematical model (DSM) with the purpose of defining the optimal location of SAMU's provisional support bases (PAP's) in the Natal / RN municipality and conduct a simulation study to evaluate ambulance displacement between PAPs according to row parameters. Results expected from the development of this study are: determination of the optimal positioning of ambulance dispatch bases, simulation study to assess the feasibility of dynamic repositioning of ambulances as predicted by DSM algorithm, reduction of ambulance response time from SAMU Natal to conformity of the response time indicator according to what is prescribed by WHO and the strength of the management of emergency mobile service in relation to operational demands such as frequency of retention of ambulance equipment (especially stretchers).

MEMBROS DA BANCA:
Presidente - 4859773 - RICARDO PIRES DE SOUZA
Interno - 2993322 - EVERTON SANTI
Externo ao Programa - 2668551 - ANDRE MORAIS GURGEL
Externo ao Programa - 1494715 - CLAUDIA APARECIDA CAVALHEIRO FRANCISCO