A federated data collection application for the prediction of adverse hypotensive events

Stell, A.J., Sinnott, R.O. and Jiang, J. (2009) A federated data collection application for the prediction of adverse hypotensive events. In: Information Technology and Applications in Biomedicine, Larnaca, Cyprus, 4-7 Nov 2009, pp. 1-4. (doi: 10.1109/ITAB.2009.5394375)

Abstract

The Avert-IT project (EU FP7) is an initiative to develop a system that can predict the onset of hypotensive events in patients over a feasible timescale (e.g. 15 mins) and allow clinicians to administer the appropriate treatment. To produce this system requires the additional development of a data collection platform, based at six leading clinical centres throughout Europe, with real-time integration to established patient monitoring systems and conversion of this data to accepted standards developed previously by the Brain-IT consortium (www.brain-it.org). This paper describes the motivation of Avert-IT, the clinical background, the development and implementation of the data collection platform, and the design considerations behind the predictor system (¿Hypo-Predict¿ engine).

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Stell, Mr Anthony and Jiang, Mr Jipu and Sinnott, Professor Richard
• Authors: Stell, A.J., Sinnott, R.O., and Jiang, J.
• College/School: College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing; University Services > IT Services > E-Science