A distributed clinical data platform for physiological studies in the brain trauma domain
AuthorSTELL, ANTHONY; SINNOTT, RICHARD; Donald, Rob; Chambers, Iain; Citerio, Giuseppe; Enblad, Per
Source Title2010 Sixth IEEE International Conference on e-Science
PublisherIEEE Computer Society
AffiliationDepartment of Computing and Information Systems
Document TypeConference Paper
CitationsStell, 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 Sixth IEEE International Conference on e-Science, Brisbane, Queensland.
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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.
Keywordshypotension; clinical data-grids; security
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