Supporting clinical trials to predict adverse events in the brain trauma domain

Anthony Stell, Richard Sinnott, Rob Donald, Iain Chambers, Giuseppe Citerio, Per Enblad, Barbara Gregson, Tim Howells, Karl Kiening, Pelle Nilsson, Arminas Ragauskas, Juan Sahuquillo (+1 others)
2012 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)  
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, realtime physiological data
more » ... nfrastructure (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 paper, the implementation and application of the ICUnet system is described, followed by the design and results of the clinical trial.
doi:10.1109/cbms.2012.6266380 dblp:conf/cbms/StellSDCCEGHKNRSP12 fatcat:wr3rs56vzrb5ra6xdrlxkm5bea