Portavita to participate in European research project AXLE
Analysis of medical Big Data offers innumerable possibilities
AXLE stands for Advanced Analytics for EXtremely Large European Databases and is one of the research projects that falls under the Framework Programme 7 (FP7) of the European Commission. As part of this project, during the next three years, Portavita will be collaborating with 2ndQuadrant Limited (United Kingdom), the Barcelona Supercomputing Center (Spain), the University of Manchester (United Kingdom) and the Univerza v Ljubljani (Slovenia) on an improved solution for the analysis of medical Big Data.
“The predictive value resulting from the analysis of extremely large quantities of data will have a tremendous impact on improving the quality of healthcare as well as reducing its costs. By focusing on the illnesses of individual patients from collective information, it will also make a substantial contribution to the further development of the Individual Healthcare Plan”, according to Evert Jan Hoijtink, CEO of Portavita.
As one of the most prominent telemedicine suppliers in Europe, Portavita has in-depth functional knowledge of e-Health and International Standards such as HL7. Based on the applications developed by Portavita to support care for the chronically ill (e.g. for Anticoagulation, Diabetes, CVRM and Asthma/COPD), the organisation has many years of knowledge and experience in profiling medical data. That is why AXLE asked Portavita to participate in the consortium.
Portavita will create a synthetic (non-reducible) dataset of biomedical data, among other things. Medical databases are far more complex than other databases when it comes to structure, security and privacy of the data. They also have some very specific features that make it difficult to analyse these data automatically. Flawless, automatic growth in the size of the database is as least as important as its management. The dataset supplied by Portavita will be representative of a real dataset in terms of structure, privacy sensitivity and complexity. The advantage is that the newly developed solutions will actually become applicable in a real-time environment when the project is completed in three years.