A case study on the application of an approximated hypercube model to emergency medical systems management

2011 ◽  
Vol 20 (4) ◽  
pp. 559-581 ◽  
Author(s):  
Susana Baptista ◽  
Rui Carvalho Oliveira
PEDIATRICS ◽  
1995 ◽  
Vol 96 (1) ◽  
pp. 173-174
Author(s):  
Jane F. Knapp

Emergency Medical Services for Chi (EMS-C) must be recognized as a public responsibility; the "market" cannot be relied on to produce the kind of planning and cooperation required to make services available to all who need them.1 The Institute of Medicine (IOM) Report on Emergency Medical Services For Children. Each year millions of American chi become seriously ill or injured. If you have ever encountered a child who did not receive the medical care they needed or deserved under these circumstances you understand what EMS-C is all about. The familiar adage, "Children are not small adults," emphasizes that their care must be an integral part of a system not an afterthought once the adults have been addressed. The achievement of the desired level of competence for EMS-C in the larger system is hampered by many factors. These include lack of organization, equipment, training, and a tack of understanding of the child's unique problems and needs. In response to these needs, Congress approved a demonstration grant program in 1984. The purpose of the program was threefold: to expand access to EMS-C, to improve the quality available through existing Emergency Medical Systems (EMS), and to generate knowledge and experience that would be of use to all states and localities seeking to improve their system. Continuing interest prompted the formation of the Committee on Pediatric Emergency Medical Services by the IOM. This 19-member committee Chaired by Dr Donald N. Medearis, Jr released their report in the summer of 1993. The IOM report entitled Emergency Medical Services for Chi is available in both a soft cover 25-page summary and the full text (see Appendix).


PEDIATRICS ◽  
1984 ◽  
Vol 73 (6) ◽  
pp. 769-772
Author(s):  
James S. Seidel ◽  
Mark Hornbein ◽  
Kathy Yoshiyama ◽  
Dorothy Kuznets ◽  
Jerry Z. Finklestein ◽  
...  

Emergency medical systems are being developed throughout the United States primarily to deal with myocardial infarction and trauma. These programs often fail to recognize the special needs of the critically ill child. Data collected in Los Angeles County from the LA County Trauma Surveys, Mobile Intensive Care Unit Rescue Reports, and Base Station Hospitals demonstrate that children represent approximately 10% of the paramedic calls. The calls are for medical problems as well as trauma. These data suggest that children have a higher death rate in the field than adults, and deaths occur more commonly in areas where there are no pediatric centers. Children are often secondarily transferred from emergency departments to other centers for definitive care. This study suggests that the needs of children in the prehospital setting are not being met.


1998 ◽  
Vol 5 (1) ◽  
pp. 23???28 ◽  
Author(s):  
J. A. HOJNOSKI ◽  
G. R. CIOTTONE ◽  
R. V. AGHABABIAN

Resuscitation ◽  
2011 ◽  
Vol 82 (9) ◽  
pp. 1198-1201 ◽  
Author(s):  
Gernot Wildner ◽  
Nina Pauker ◽  
Sylvia Archan ◽  
Geza Gemes ◽  
Marcel Rigaud ◽  
...  

2016 ◽  
Vol 12 (4) ◽  
pp. 287 ◽  
Author(s):  
Andrea Bettinelli, PhD ◽  
Roberto Cordone, PhD ◽  
Federico Ficarelli, MSc ◽  
Giovanni Righini, PhD

The authors address strategic planning problems for emergency medical systems (EMS). In particular, the three following critical decisions are considered: i) how many ambulances to deploy in a given territory at any given point in time, to meet the forecasted demand, yielding an appropriate response time; ii) when ambulances should be used for serving nonurgent requests and when they should better be kept idle for possible incoming urgent requests; iii) how to define an optimal mix of contracts for renting ambulances from private associations to meet the forecasted demand at minimum cost. In particular, analytical models for decision support, based on queuing theory, discrete-event simulation, and integer linear programming were presented. Computational experiments have been done on real data from the city of Milan, Italy.


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