Wed, 1 August 2012 12:00:00 +0100
The steering committee of euroCAT agreed to collaborate with the "SHARED CaRe" consortium (NWO zwaartekracht programma 2012) and make available all the existing database and nomograms to make progress in the direction of "Shared Decision Making", to involve the patient in the treatment decision.
July 2011 no. 8
Mon, 16 July 2012 21:59:00 +0200
Core EuroCAT system at each partner site is due to be completed in July, The distributed learning infrastructure is due to be implemented across all sites and the first distributed learning test with data from MAASTRO installed at all sites will be undertaken July /August, News from Eindhoven: Portal with new mapping possibilities is now available, De-identification of DICOM data works, Now working on getting connection to machine learning, Clinical use of electronic medical records (EZIS) starts on August 8th, Regular bi-weekly technical meetings are held between Eindhoven, MAASTRO and Siemens.
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May 2011 no. 7
Sun, 7 May 2012 21:59:00 +0200
Installation in Hasselt has now been completed, Ethical approval obtained by Aachen, MAASTRO due to have a newer version installed, Eindhoven due to be updated as they have now moved to Mosaic, Hasselt is now fully installed and introductory training has been completed, Liege is now fully installed. Introductory training has not been completed, Umbrella Protocol completed and sent to partners for changes and approval, Third INTERREG Activity Report submitted, Audit completed by Dutch Ministry - Positive outcome
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We aim to greatly improve Cancer treatment and research by using a new internationally advanced computer network for clinical research and decision supporting software.
Starting September 2010 nine organisations are collaborating on the ambitious Euregional Computer Assisted Theragnostics project (EuroCAT) in the Meuse-Rhine region (The Netherlands, Belgium and Germany). As a result physicians will be able to dramatically improve the quality of treatment each individual cancer patient receives as well as the speed and quality of clinical research. This is possible by using software that skilfully mines the data and treatment results in a new international patient database and predicts treatment outcomes for each new patient. This international advanced computer network will rapidly identify patients for clinical trials and automate many of the standard processes.
The goal of the project is two fold: a) to develop a shared database of medical characteristics in cancer patients, tumours and treatments. Copying data from existing databases and linking them together on a larger scale will greatly improve the ability to learn and predict the outcome of individual treatments within the next three years. And b) find patients for trials and decrease and speed up the administration and analysis around clinical trials. The project is made possible through extensive, cross-border cooperation among the parties involved in addition to a sizeable European Interreg grant from Interreg IV-a.
Our mission is to foster high quality multicentric clinical research by building... [ Mission Statement ]
Our vision is that over the next ten years clinical research will only be possible within... [ Vision Statement ]
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Our mission is to foster high quality multicentric clinical research by building an IT infrastructure allowing patient identification and an automated exchange of multilevel data across multiple academic and non-academic centres. This we aim to do in a way that is compliant with good clinical practice guidelines.
Our vision is that over the next ten years clinical research will only be possible within an international network having a GCP compliant advanced IT network allowing high volume / high quality patient data.