DocumentCode :
3469328
Title :
Exploring the combination of computational Grid processing techniques and public health information in relation to modeling the effects of hospital closure proposals
Author :
Piggott, David ; Kelly, Alan ; Teljeur, Conor
fYear :
2004
fDate :
19-22 April 2004
Firstpage :
336
Lastpage :
337
Abstract :
This paper explores the potential use of grid technology in health care, from the perspective of a European health authority in a regional health care network (RHCN) seeking to model the effects of a proposed hospital closure programme. The paper reviews the strategic implications of using a ´Grid-based´ application to enable the collation and analyses of public health information (PHI) to support health care planning and capital development. The paper also considers relevant issues in relation to the analysis of data extracted from electronic health records (EHR) systems and patient management systems (PMS), across many hospitals and primary health care centres (PHCC) in a region, via a Grid-based application. The potential for the use of the Grid to support PHI in compute and data intensive tasks is discussed, together with a proposed way forward for the development of a Grid-based RHCN PHI service.
Keywords :
data analysis; grid computing; health care; hospitals; medical administrative data processing; planning; European health authority; capital development; computational Grid processing; data analysis; electronic health records; health care planning; hospital closure proposals; patient management systems; primary health care centres; public health information; regional health care network; Data analysis; Data mining; Grid computing; Health information management; Hospitals; Information analysis; Medical services; Proposals; Public healthcare; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2004. CCGrid 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8430-X
Type :
conf
DOI :
10.1109/CCGrid.2004.1336585
Filename :
1336585
Link To Document :
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