Medical techniques for avoiding Adverse Events currently exist, but clinicians don#t have a reliable way to predict the occurrence, so there is no opportunity for intervention.
Research indicates average lengths of stay can be reduced by up to 30%, and outcomes improved for a similar proportion of patients, if these Adverse Events can be avoided through prediction and intervention. Potential savings across the EU exceed 5 billion euros, annually.
A model for predicting Adverse Events offers potential for improving outcomes across a wide range of conditions and or illnesses.
The main objectives of the project are:
- Understanding the association between multiple patient parameters and arterial hypotension (sudden drop in blood pressure)
- Development of a software application to predict the occurrence of arterial hypotension based on recognition of the associations described above
- Validation of the solution in clinical trials
- Exploitation model for the commercialisation of the software in product/service sales across international markets
For further information, please visit:
http://avertit.wordpress.com (Avert-IT Project Blog)
Pera Innovation Ltd.
- C3 Amulet Ltd
- Uppsala Universitet
- Universitätsklinikum Heidelberg
- Azienda Ospedaleria San Gerardo Di Monza
- Kauno Technologijos Universitetas
- The University Of Glasgow
- Greater Glasgow Health Board
- Hospital Universitari Vall d'Hebron
- Philips Medizin Systeme Böblingen Gmbh.
Timetable: from 01/2008 € to 12/2010
Total cost: € 2.286.138
EC funding: € 1.780.000
Programme Acronym: FP7-ICT
Subprogramme Area: Advanced ICT for risk assessment and patient safety
Contract type: Collaborative project (generic)
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