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

• 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.

Keyword

Adverse events

Brain trauma

Clinical data

Clinical trial

Medical knowledge

Physiological condition

Physiological data

Experiments

Physiology

Medical applications

Publication and Content Type

ref (subject category)

kon (subject category)