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Advanced Arterial Hypotension Adverse Event prediction through a Novel Bayesian Neural Network

Advanced Arterial Hypotension Adverse Event prediction through a Novel Bayesian Neural Network

Objective

Hypotension (sub-normal blood pressure) adverse events (AE's) occur commonly in patients managed in intensive care and high dependency units. Health care technology which could reduce the burden of these events by as little as ten percent would equate to at least five billion Euros p.a. saved by European healthcare organisations for use in other treatment regimens
The AVERT-IT project will create a novel bed-side monitoring and alerting system dedicated to the prediction of variations in the condition of the patient that are likely to lead to hypotension without appropriate clinical intervention. A world-class consortium consisting of an SME software developer (C3 Global), renown clinical experts (www.brainit.org), Philips medical and Grid experts in secure access to distributed medical datasets will develop and validate the innovative technology using access to a unique and large repository of detailed multi-media patient data drawn from 22 clinical centres in 11 countries created through two recent EC funded projects.
A systematic work programme will select appropriate clinical and monitoring inputs (via undertaking data mining and robust statistical analysis of this unique database and other electronic health record systems) to train a novel Bayesian Artificial Neural Network (BANN) to predict subsequent hypotension AE's. The BANN will form the engine of a novel IT-based decision support system ("HypoPredict") which will be prospectively validated in 6 clinical intensive care centres using a phase II clinical trial design.
The AVERT-IT project will produce a step-change in arterial hypotension prediction within the critical, intensive and high-dependency care environment with a major impact upon health care costs in terms of reduced corrective care, obviated as a consequence of the improved prediction of, and earlier intervention in, hypotension adverse events, and in improved patient outcome with associated reduction in carer-burden.
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Coordinator

PERA INNOVATION LIMITED

Address

Innovation Park, Nottingham Road
Le13 Opb Melton Mowbray, Leicestershire

United Kingdom

Activity type

Research Organisations

EU Contribution

€ 254 736

Administrative Contact

Andrew Dean (Mr.)

Participants (9)

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Heidelberg University Medical School

Germany

EU Contribution

€ 135 700

Philips Healthcare (PHCD)

Germany

EU Contribution

€ 18 900

INSTITUT CATALA DE LA SALUT

Spain

EU Contribution

€ 129 304

AZIENDA OSPEDALIERA SAN GERARDO DI MONZA

Italy

EU Contribution

€ 97 324

KAUNO TECHNOLOGIJOS UNIVERSITETAS

Lithuania

EU Contribution

€ 114 380

Uppsala University

Sweden

EU Contribution

€ 333 404

UNIVERSITY OF GLASGOW

United Kingdom

EU Contribution

€ 193 024

GREATER GLASGOW HEALTH BOARD

United Kingdom

EU Contribution

€ 136 144

C3 GLOBAL LIMITED

United Kingdom

EU Contribution

€ 367 084

Project information

Grant agreement ID: 217049

Status

Closed project

  • Start date

    1 January 2008

  • End date

    31 July 2011

Funded under:

FP7-ICT

  • Overall budget:

    € 2 265 890

  • EU contribution

    € 1 780 000

Coordinated by:

PERA INNOVATION LIMITED

United Kingdom