TY  - CPAPER
AU  - STELL, ANTHONY
AU  - SINNOTT, RICHARD
AU  - Donald, Rob
AU  - Chambers, Iain
AU  - Citerio, Giuseppe
AU  - Enblad, Per
Y2  - 2014/05/22
Y1  - 2010
UR  - http://hdl.handle.net/11343/32690
AB  - 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.
LA  - eng
PB  - IEEE Computer Society
KW  - hypotension
KW  - clinical data-grids
KW  - security
T1  - A distributed clinical data platform for physiological studies in the brain trauma domain
IS  - 2010 Sixth IEEE International Conference on e-Science
L1  - /bitstream/handle/11343/32690/286154_IEEE%20Brain%20Trauma%20Domain%202010.pdf?sequence=1&isAllowed=n
ER  -