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A distributed clinical data platform for physiological studies in the brain trauma domain

Authors :
Karl L. Kiening
Richard O. Sinnott
Arminas Ragauskas
Rob Donald
Anthony Stell
Barbara A. Gregson
Tim Howells
Juan Sahuquillo
Pelle Nilsson
Giuseppe Citerio
Ian Piper
I. Chambers
Per Enblad
Stell, A
Sinnott, R
Donald, R
Chambers, I
Citerio, G
Enblad, P
Gregson, B
Howells, T
Kiening, K
Nilsson, P
Ragauskas, A
Sahuquillo, J
Piper, I
Source :
eScience
Publication Year :
2010
Publisher :
IEEE, 2010.

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 (HypoNet) 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 HypoNet system is described here. © 2010 IEEE.

Details

Language :
English
Database :
OpenAIRE
Journal :
eScience
Accession number :
edsair.doi.dedup.....fa5068f8a1a3f8b14f8c7428fa84d503