By Topic

The potential of parallel computing for locating primary care services

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Teljeur, C. ; Dept. Public Health & Primary Care, Trinity Coll. Dublin, Ireland ; Kelly, A. ; Montoya, I.

This paper investigates the potential for grid and parallel computing for location-allocation modelling of health services. Previous work showed the potential for solving small scale location-allocation problems concerning hospitals within a grid or parallel computing environment. In this study, we look at a much larger problem and investigate how computation within a grid could facilitate a more in-depth understanding of the problem. Within the context of siting primary care services in Ireland, an algorithm and case study for a region within Ireland are presented. From the case study it can be seen that finding a nationwide solution is computationally intensive. It is also shown how spatial interaction modelling is readily parallelisable and that location-allocation modelling can be translated to a grid environment. The benefits of such an approach and how it might lead to more equitable service provision are also outlined.

Published in:

Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International Symposium on  (Volume:1 )

Date of Conference:

9-12 May 2005