Conference Proceedings
Supporting clinical trials to predict adverse events in the brain trauma domain
A Stell, R Sinnott, R Donald, I Chambers, G Citerio, P Enblad, B Gregson, T Howells, K Kiening, P Nilsson, A Ragauskas, J Sahuquillo, I Piper
Proceedings IEEE Symposium on Computer Based Medical Systems | IEEE | Published : 2012
Abstract
There are many serious and acute physiological conditions about which we have incomplete medical knowledge. To address this and develop effective treatments it is often the case that a wealth of clinical data is required for collection, analysis and feedback. Whilst such data often exists it 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 infrastructure (ICUnet) to address the specific issue of prediction of hypotensive events in the brain trauma domain. This system has been used to support a major multi-centre clinical trial. In this ..
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Awarded by EU FP7 program
Funding Acknowledgements
The authors would like to acknowledge the EU FP7 program ( grant number 217049), kindly funding the Avert- IT project. We would also like to acknowledge the work of the BrainIT group investigators and participating centres to the BrainIT dataset without whom this work would not have been possible.