scholarly journals Estimating the Benefits of Regionalizing Emergency Medical Service Provision

1985 ◽  
Vol 14 (2) ◽  
pp. 144-153
Author(s):  
James M. Wilson ◽  
Daniel J. Dudek
Keyword(s):  
Response Time ◽  
Emergency Medical Service ◽  
Service Provision ◽  
Medical Service ◽  
Programming Model ◽  
Weighted Average ◽  
Local Area ◽  
Mixed Integer ◽  
Emergency Medical ◽  
Time Changes

Local area governments have experienced increasingly stringent budget constraints in recent years. Innovations in service delivery provide one avenue for increasing the effectiveness of resource allocations. This paper explores the potential savings available from regionalizing emergency medical service provision. A mixed integer programming model incorporating peak demand considerations is used to minimize service cost given a desired maximum response time. Changes in the weighted average response time measure the quality degradation required to attain the savings from cooperative provision. The results indicate that the benefits are substantial but that distribution of these gains is a possible barrier to implementation.

Factors Influencing the Emergency Medical Service Response Time for Cardiovascular Disease in Guangzhou, China

2019 ◽  
Vol 39 (3) ◽  
pp. 463-471
Author(s):  
Xiao-qian Chen ◽  
Zi-feng Liu ◽  
Shi-kun Zhong ◽  
Xing-tang Niu ◽  
Yi-xiang Huang ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Response Time ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Factors Influencing ◽  
Emergency Medical ◽  
Service Response Time

scholarly journals Robust Optimization Model for Bi-objective Emergency Medical Service Design Problem with Demand Uncertainty

2019 ◽  
Vol 20 (2) ◽  
pp. 95
Author(s):  
Diah Chaerani ◽  
Siti Rabiatul Adawiyah ◽  
Eman Lesmana
Keyword(s):  
Robust Optimization ◽  
Emergency Medical Service ◽  
Design Problem ◽  
Medical Service ◽  
Optimal Solution ◽  
Service Design ◽  
Mixed Integer ◽  
Worst Case ◽  
Robust Counterpart ◽  
Emergency Medical

Bi-objective Emergency Medical Service Design Problem is a problem to determining the location of the station Emergency Medical Service among all candidate station location, the determination of the number of emergency vehicles allocated to stations being built so as to serve medical demand. This problem is a multi-objective problem that has two objective functions that minimize cost and maximize service. In real case there is often uncertainty in the model such as the number of demand. To deal the uncertainty on the bi-objective emergency medical service problem is using Robust Optimization which gave optimal solution even in the worst case. Model Bi-objective Emergency Medical Service Design Problem is formulated using Mixed Integer Programming. In this research, Robust Optimization is formulated for Bi-objective Emergency Medical Service Design Problem through Robust Counterpart formulation by assuming uncertainty in demand is box uncertainty and ellipsoidal uncertainty set. We show that in the case of bi-objective optimization problem, the robust counterpart remains computationally tractable. The example is performed using Lexicographic Method and Branch and Bound Method to obtain optimal solution. 

scholarly journals Improving bystander defibrillation in out-of-hospital cardiac arrests at home

2020 ◽  
Vol 9 (4_suppl) ◽  
pp. S74-S81
Author(s):  
Lena Karlsson ◽  
Carolina M Hansen ◽  
Christina Vourakis ◽  
Christopher LF Sun ◽  
Shahzleen Rajan ◽  
...  
Keyword(s):  
Response Time ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Automated External Defibrillator ◽  
Automated External Defibrillators ◽  
Bystander Activation ◽  
Emergency Medical ◽  
Service Response Time ◽  
External Defibrillator ◽  
At Home

Aims: Most out-of-hospital cardiac arrests occur at home with dismal bystander defibrillation rates. We investigated automated external defibrillator coverage of home arrests, and the proportion potentially reachable with an automated external defibrillator before emergency medical service arrival according to different bystander activation strategies. Methods and results: Cardiac arrests in homes (private/nursing/senior homes) in Copenhagen, Denmark (2008–2016) and registered automated external defibrillators (2007–2016), were identified. Automated external defibrillator coverage (distance from arrest to automated external defibrillator) and accessibility at the time of arrest were examined according to route distance to nearest automated external defibrillator and emergency medical service response time. The proportion of arrests reachable with an automated external defibrillator by bystander was calculated using two-way (from patient to automated external defibrillator and back) and one-way (from automated external defibrillator to patient) potential activation strategies. Of 1879 home arrests, automated external defibrillator coverage ≤100 m was low (6.3%) and a two-way bystander could potentially only retrieve an accessible automated external defibrillator before emergency medical service in 31.1% ( n=37) of cases. If a bystander only needed to travel one-way to bring an automated external defibrillator (≤100 m, ≤250 m and ≤500 m), 45.4% ( n=54/119), 37.1% ( n=196/529) and 29.8% ( n=350/1174) could potentially be reached before the emergency medical service based on current automated external defibrillator accessibility. Conclusions: Few home arrests were reachable with an automated external defibrillator before emergency medical service if bystanders needed to travel from patient to automated external defibrillator and back. However, nearly one-third of arrests ≤500 m of an automated external defibrillator could be reached before emergency medical service arrival if the bystander only needed to travel one-way from the automated external defibrillator to the patient.

scholarly journals Emergency Medical Service in Rural Mountain Areas in Taiwan: A Nantou Mountain Areas Based Study

2014 ◽  
Vol 21 (6) ◽  
pp. 373-381 ◽  
Author(s):  
Sc Hung ◽  
Yh Li ◽  
Mc Chen ◽  
Sw Lai ◽  
Fc Sung ◽  
...  
Keyword(s):  
Response Time ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Life Support ◽  
Advanced Life Support ◽  
Patient Characteristics ◽  
Emergency Medical Technician ◽  
Mountain Areas ◽  
Emergency Medical ◽  
The Mean

Background This study explored the emergency medical service (EMS) in rural mountain areas in Taiwan to establish the public health policies in rural mountain areas. Methods This was a retrospective study. Based on mission records available at 3 EMS branches in Ren-Ai and Sinyi townships of Nantou County, we evaluated dispatched status, patient characteristics, and pre-hospital emergency managements. Results From January to June 2011, a total of 765 EMS were dispatched from these 3 mountain branches. Each dispatched EMS team was consisted of one official emergency medical technician (EMT) with EMT II certificate (100%), and one (88.0%) or two (11.2%) volunteers as EMT I personnel. Most of missions were conducted in the daytime and peaked during 10am to 12pm. Patients were characterised with more men and elderly and predominant with non-traumatic medical complains (55.0%). Approximately 38.7% EMS patients required the advanced life support. Of these 3 mountain EMS branches, the mean response time was 15.3±16.9 minutes, the mean management time on site was 6.1±6.9 minutes and the mean transport time was 38.0±15.9 minutes. The response time and transportation time of EMS in rural mountain areas were relatively longer than that in urban towns in Taiwan. Conclusions The rural EMS is under the challenges of providing appropriate and adequate medical care. Each EMS team should be equipped with adequate emergency care facilities and well trained personnel. (Hong Kong j.emerg.med. 2014;21:373-381)

scholarly journals IMPLEMENTATION OF INTERNET-BASED EMERGENCY MEDICAL SERVICE (EMS) AT OUT-OF CARDIAC ARREST HOSPITAL (OHCA): A SOLUTION TO IMPROVE CARDIAC ARREST RESPONSE TIME AND ITS POTENTIAL APPLICATION IN INDONESIA

2018 ◽  
Vol 4 (6) ◽  
pp. 530-536
Author(s):  
Ismail Fahmi ◽  
Elly Nurachmah
Keyword(s):  
Cardiac Arrest ◽  
Response Time ◽  
Web Service ◽  
Emergency Medical Service ◽  
Medical Service ◽  
The Internet ◽  
Mobile Web ◽  
Delay Response ◽  
Emergency Medical ◽  
Hospital Cardiac Arrest

Out-of Hospital Cardiac Arrest (OHCA) is a condition when heart stops beating in out of the hospital. The majority of OHCA leads to death because of the delay response. Emergency Medical Service (EMS) system is needed to take care of the patients carefully. The development of Internet-based EMS is one of the best solutions, which is not only to improve the response time, but also to help patients to get the ambulance immediately. The aim of this paper was to understand how the Internet -based EMS can be used and how it will affect the patients with OHCA. Our findings indicated that the Internet-based EMS with mobile web service is critically needed for immediate response of cardiac arrest and accident situation in pre-hospital condition. However, the Internet-based EMS development needs to involve inter-sectoral agencies, such as fire fighter, police, and National Search and Rescue (SAR) Agent.

Response time evaluation for emergency medical service as a part of its performance

2012 ◽  
Vol 30 (9) ◽  
pp. 763-765 ◽  
Author(s):  
François-Xavier Duchateau ◽  
Delphine Garnier-Connois ◽  
Agnès Ricard-Hibon ◽  
Julien Josseaume ◽  
Enrique Casalino
Keyword(s):  
Response Time ◽  
Emergency Medical Service ◽  
Medical Service ◽  
Emergency Medical ◽  
Time Evaluation

Metaheuristics in the decentralization of SAMU bases using simulation in northeastern Brazil

2021 ◽  
pp. 1-13
Author(s):  
Eric Lucas dos Santos Cabral ◽  
Wilkson Ricardo Silva Castro ◽  
Davidson Rogério de Medeiros Florentino ◽  
João Florêncio da Costa Junior ◽  
Talita Dias Chagas Frazão ◽  
...  
Keyword(s):  
Response Time ◽  
Medical Care ◽  
Emergency Medical Service ◽  
Simulation Study ◽  
Traffic Accidents ◽  
Medical Service ◽  
Northeastern Brazil ◽  
World Health ◽  
Hospital Medical ◽  
Emergency Medical

BACKGROUND AND OBJECTIVE: The growth of the urban population exerts considerable pressure on municipalities’ public managers to focus their attention on providing emergency medical care that meets the growing demand for emergency pre-hospital medical care. Currently, there are a significant number of traffic accidents and other serious occurrences, such as heart attacks, drownings, epidemics, fires and disasters (floods, landslides, earthquakes) that demand a prompt and seamless response from pre-hospital medical care. As a result of such scenario, the present article endeavours to apply a dual-coverage mathematical model (DSM-Double Standard Model) to define the optimal location of the Emergency Medical Service (SAMU) decentralized dispatch bases in Natal/RN and conduct a simulation study to evaluate the displacement of ambulances between such bases. METHODS: The methodological course that was followed by this research constitutes of 12 steps. The location of decentralized bases for sending emergency ambulances was established using the DSM model and the simulation model was performed using the FlexSim© software version 2018 evaluating base coverage in relation to the total number of calls by demand points for different scenarios. RESULTS: The results obtained throughout the research demonstrated the feasibility of redefining the decentralized bases of SAMU/Natal ambulances as a strategy to reduce response time and guarantee compliance with performance parameters established by international organizations (the World Health Organization, for instance, establishes the time of 8 minutes for emergency medical service calls response). The simulation study showed a significant reduction in response time, by up to 60% in some cases. CONCLUSION: The proposition of new locations for the decentralized dispatch bases of the SAMU/Natal can provide an overall significant reduction on the ambulance response time, so as to contribute to expedite the initiation of treatment of patients, if necessary, sent to hospitals.

Improving Rural Emergency Medical Service Response Time With Global Positioning System Navigation

2009 ◽  
Vol 67 (5) ◽  
pp. 899-902 ◽  
Author(s):  
Richard P. Gonzalez ◽  
Glenn R. Cummings ◽  
Madhuri S. Mulekar ◽  
Shana M. Harlan ◽  
Charles B. Rodning
Keyword(s):  
Response Time ◽  
Emergency Medical Service ◽  
Global Positioning System ◽  
Medical Service ◽  
Positioning System ◽  
Emergency Medical ◽  
Global Positioning ◽  
Service Response Time
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