DocumentCode
3549313
Title
Challenges of ultra large scale integration of biomedical computing systems
Author
Begent, R.H.J. ; Brady, J.M. ; Finkelstein, A. ; Gavaghan, D. ; Kerr, P. ; Parkinson, H. ; Reddington, F. ; Wilkinson, J.M.
Author_Institution
NCRI Informatics Unit, London, UK
fYear
2005
fDate
23-24 June 2005
Firstpage
64
Lastpage
69
Abstract
The NCRI Informatics Initiative is overseeing the implementation of an informatics framework for the UK cancer research community. The framework advocates an integrated multidisciplinary method of working between scientific and medical communities. Key to this process is community adoption of high quality acquisition, storage, sharing and integration of diverse data elements to improve knowledge of the causes, prevention and treatment of cancer. The integration of the complex data and meta-data used by these multiple communities is a significant challenge and there are technical, resource-based and sociological issues to be addressed. In this paper we review progress aimed at establishing the framework and outline key challenges in ultra large scale integration of biomedical computing systems.
Keywords
cancer; data acquisition; health care; medical computing; medical information systems; meta data; reviews; tumours; UK cancer research community; biomedical computing system; cancer treatment; complex data integration; data element integration; data sharing; data storage; informatics framework; integrated multidisciplinary method; meta-data integration; quality data acquisition; reviews; ultra large scale integration; Bioinformatics; Biomedical computing; Biomedical imaging; Biomedical informatics; Cancer; Clinical trials; Educational institutions; Genomics; Management training; Ultra large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on
ISSN
1063-7125
Print_ISBN
0-7695-2355-2
Type
conf
DOI
10.1109/CBMS.2005.40
Filename
1467669
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