Clinicians lead developments in health care sciences through a proven process of discovery, publication, peer review and dissemination. The fundamental concepts enabling this process are collaboration and sharing.
New Information Technologies offer the potential for both expansion of the collaboration, and acceleration of the review process. Our project will harness that potential, prove the benefits and encourage adoption of similar techniques.
The Avert-IT project will implement a number of technologies, proving the value of aggregated data, cross centre analysis and global dissemination.
We’ll use software to collect parameter data at the bed side, secure the patients privacy, transmit the information for aggregation and analysis, report patient specific intelligence back to the bedside, and discipline specific information back to the community.
And as part of the process we’ll improve the quality of our analysis. Our Bayesian Neural Network will learn more through each cycle, becoming more accurate in its pattern recognition. It’ll also tell us a lot more of events during care and direct other improvements.