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 paper, the implementation and application of the ICUnet system is described, followed by the design and results of the clinical trial. © 2012 IEEE.

Stell, A., Sinnott, R., Donald, R., Chambers, I., Citerio, G., Enblad, P., et al. (2012). Supporting clinical trials to predict adverse events in the brain trauma domain. In 2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp.1-6) [10.1109/CBMS.2012.6266380].

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

Citerio G.;
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 paper, the implementation and application of the ICUnet system is described, followed by the design and results of the clinical trial. © 2012 IEEE.
relazione (orale)
clinical trials, brain trauma
English
2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)
2012
Soda, P; Tortorella, F
2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
978-146732051-1
2012
1
6
6266380
none
Stell, A., Sinnott, R., Donald, R., Chambers, I., Citerio, G., Enblad, P., et al. (2012). Supporting clinical trials to predict adverse events in the brain trauma domain. In 2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp.1-6) [10.1109/CBMS.2012.6266380].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/284389
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