DocumentCode :
2205675
Title :
A Distributed Clinical Data Platform for Physiological Studies in the Brain Trauma Domain
Author :
Stell, Anthony ; Sinnott, Richard ; Donald, Rob ; Chambers, Iain ; Citerio, Giuseppe ; Enblad, Per ; Gregson, Barbara ; Howells, Tim ; Kiening, Karl ; Nilsson, Pelle ; Ragauskas, Arminas ; Sahuquillo, Juan ; Piper, Ian
Author_Institution :
Nat. e-Sci. Centre, Univ. of Glasgow, Glasgow, UK
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
65
Lastpage :
72
Abstract :
There are many serious and acute physiological conditions about which we have incomplete medical knowledge that can support optimal healthcare intervention. To develop effective treatments a wealth of clinical data is required for collection, analysis and feedback. Such data often does exist but is typically held in a variety of different formats and locations. This paper describes the EU FP7-funded Avert-IT project (www.avert-it.org), which has developed an integrated, real-time physiological data grid infrastructure (Hypo Net) to address the specific issue of prediction of hypotensive events in the brain trauma domain and is currently being used as part of a large multi-centre clinical trial. The implementation and application of the Hypo Net system is described here.
Keywords :
brain; grid computing; health care; injuries; medical administrative data processing; neurophysiology; patient treatment; EU FP7-funded avert-IT project; HypoNet system; brain trauma domain; clinical data analysis; clinical data collection; distributed clinical data platform; healthcare intervention; hypotensive events prediction; large multi-centre clinical trial; medical knowledge; real-time physiological data grid infrastructure; Biomedical monitoring; Blood pressure; Databases; Heart rate; Hospitals; Monitoring; Servers; Clinical Data-Grids; Hypotension; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Science (e-Science), 2010 IEEE Sixth International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-8957-2
Electronic_ISBN :
978-0-7695-4290-4
Type :
conf
DOI :
10.1109/eScience.2010.26
Filename :
5693900
Link To Document :
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