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.
Stell, A., Sinnott, R., Donald, R., Chambers, I., Citerio, G., Enblad, P., et al. (2010). A distributed clinical data platform for physiological studies in the brain trauma domain. In Proceedings - 2010 6th IEEE International Conference on e-Science, eScience 2010 (pp. 65-72). IEEE [10.1109/eScience.2010.26].
A distributed clinical data platform for physiological studies in the brain trauma domain
Citerio G.;
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.
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