Supporting clinical trials to predict adverse events in the brain trauma domain
2012 (English)In: IEEE Symposium on Computer-Based Medical Systems, 2012, 6266380- p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
2012. 6266380- p.
, Proceedings - IEEE Symposium on Computer-Based Medical Systems, ISSN 1063-7125
Adverse events, Brain trauma, Clinical data, Clinical trial, Medical knowledge, Physiological condition, Physiological data, Experiments, Physiology, Medical applications
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:uu:diva-186836DOI: 10.1109/CBMS.2012.6266380ISBN: 9781467320511OAI: oai:DiVA.org:uu-186836DiVA: diva2:574853
25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012, 20 June 2012 through 22 June 2012, Rome, Italy