scholarly journals Temperature mapping in an air ambulance helicopter: Implications for the delivery of pre‐hospital transfusion

Transfusion ◽  
2021 ◽  
Vol 61 (S1) ◽  
Author(s):  
Hazel Smith ◽  
Heidi Doughty ◽  
Jonathan Bishop ◽  
Mike Herbert ◽  
Mark Nash
Keyword(s):  
Air Ambulance ◽  
Temperature Mapping

scholarly journals Use of an Air Ambulance System Improves Time to Treatment of Patients with Acute Myocardial Infarction

2006 ◽  
Vol 45 (2) ◽  
pp. 45-50 ◽  
Author(s):  
Noritake Hata ◽  
Nobuaki Kobayashi ◽  
Takahiro Imaizumi ◽  
Shinya Yokoyama ◽  
Takuro Shinada ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Time To Treatment ◽  
Air Ambulance

scholarly journals Introducing fairness in Norwegian air ambulance base location planning

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Caroline J. Jagtenberg ◽  
Maaike A. J. Vollebergh ◽  
Oddvar Uleberg ◽  
Jo Røislien
Keyword(s):  
Social Welfare ◽  
Social Welfare Function ◽  
Mathematical Optimization ◽  
Population Coverage ◽  
Air Ambulance ◽  
Service Levels ◽  
Remote Areas ◽  
The North ◽  
Time Threshold ◽  
Essential Question

Abstract Background A primary task of the Norwegian helicopter emergency medical services (HEMS) is to provide advanced medical care to the critical ill and injured outside of hospitals. Where HEMS bases are located, directly influences who in the population can be reached within a given response time threshold and who cannot. When studying the locations of bases, the focus is often on efficiency, that is, maximizing the total number of people that can be reached within a given set time. This approach is known to benefit people living in densely populated areas, such as cities, over people living in remote areas. The most efficient solution is thus typically not necessarily a fair one. This study aims to incorporate fairness in finding optimal air ambulance base locations. Methods We solve multiple advanced mathematical optimization models to determine optimal helicopter base locations, with different optimization criteria related to the level of aversion to inequality, including the utilitarian, Bernoulli-Nash and iso-elastic social welfare functions. This is the first study to use the latter social welfare function for HEMS. Results Focusing on efficiency, a utilitarian objective function focuses on covering the larger cities in Norway, leaving parts of Norway largely uncovered. Including fairness by rather using an iso-elastic social welfare function in the optimization avoids leaving whole areas uncovered and in particular increases service levels in the north of Norway. Conclusions Including fairness in determining optimal HEMS base locations has great impact on population coverage, in particular when the number of base locations is not enough to give full coverage of the country. As results differ depending on the mathematical objective, the work shows the importance of not only looking for optimal solutions, but also raising the essential question of ‘optimal with respect to what’.

Minimum temperature mapping with spatial copula interpolation

2020 ◽  
pp. 100464
Author(s):  
P. Bostan ◽  
A. Stein ◽  
F. Alidoost ◽  
F. Osei
Keyword(s):  
Minimum Temperature ◽  
Temperature Mapping

Temperature mapping of frozen tissue using eddy current compensated half excitation RF pulses

2001 ◽  
Vol 46 (5) ◽  
pp. 985-992 ◽  
Author(s):  
Janaka P. Wansapura ◽  
Bruce L. Daniel ◽  
John Pauly ◽  
Kim Butts
Keyword(s):  
Eddy Current ◽  
Rf Pulses ◽  
Temperature Mapping ◽  
Frozen Tissue
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