Literature DB >> 24744263

Reducing Emergency Medical Service response time via the reallocation of ambulance bases.

L C Nogueira1, L R Pinto2, P M S Silva2.   

Abstract

The demand for highly efficient and effective services and consumer goods is an essential prerequisite for modern organizations. In healthcare, efficiency and effectiveness mean reducing disabilities and maintaining human life. One challenge is guaranteeing rapid Emergency Medical Service (EMS) response. This study analyzes the EMS of Belo Horizonte, Brazil, using two modeling techniques: optimization and simulation. The optimization model locates ambulance bases and allocates ambulances to those bases. A simulation of this proposed configuration is run to analyze the dynamic behavior of the system. The main assumption is that optimizing the ambulance base locations can improve the system response time. Feasible solutions were found and the current system may be improved while considering economic and operational changes.

Entities:  

Keywords:  Discrete event simulation; Facility location; Mathematical modeling; Optimization

Mesh:

Year:  2014        PMID: 24744263     DOI: 10.1007/s10729-014-9280-4

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  3 in total

1.  Emergency medical service rescue times in Riyadh.

Authors:  Ali S Al-Ghamdi
Journal:  Accid Anal Prev       Date:  2002-07

2.  Using a discrete-event simulation to balance ambulance availability and demand in static deployment systems.

Authors:  Ching-Han Wu; Kevin P Hwang
Journal:  Acad Emerg Med       Date:  2009-12       Impact factor: 3.451

3.  Eight minutes or less: does the ambulance response time guideline impact trauma patient outcome?

Authors:  Peter T Pons; Vincent J Markovchick
Journal:  J Emerg Med       Date:  2002-07       Impact factor: 1.484

  3 in total
  4 in total

1.  A Multi-Objective Optimization Approach for Emergency Medical Service Facilities Location-Allocation in Rural Areas.

Authors:  Yulong Chen; Zhizhu Lai
Journal:  Risk Manag Healthc Policy       Date:  2022-03-15

2.  Mobile Ambulatory Application Asafny and Traditional Phone Request 997: A Comparative Cross-Sectional Study.

Authors:  Arwa Althumairi; Zainab Alnasser; Sarah Alsadeq; Nouf Al-Kahtani; Afnan Aljaffary
Journal:  Open Access Emerg Med       Date:  2021-01-05

3.  Computer simulation of the effectiveness of novel cardiac arrest response systems.

Authors:  Greg Lancaster; Jeffrey W Herrmann
Journal:  Resusc Plus       Date:  2021-07-28

4.  The status of prehospital care delivery for COVID-19 patients in Addis Ababa, Ethiopia: The study emphasizing adverse events occurring in prehospital transport and associated factors.

Authors:  Ararso Baru; Menbeu Sultan; Lemlem Beza
Journal:  PLoS One       Date:  2022-02-01       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.