GMV applies Big Data to the personalization of clinical treatment

GMV technology will be providing physicians with information on the behavior patterns of some of the commonest chronic illnesses and of those who suffer from them. Thus, on the strength of work carried out under the PAPHOS project, specialists will be able to personalize their treatment of chronic patients, cutting down overlapping prescriptions and tests, directly benefiting patients and favoring sustainability of the health system.

GMV, within the framework of this EIT Health-promoted project, will help to set up a secure platform applying cutting-edge analytical technology to allow all healthcare stakeholders to move on from the reporting phase (what happened?) to the predictive phase (what might happen?) and finally to prescription (why it will happen?)

As a result of the PAPHOS project, the data obtained from the exchange of information between various hospitals and medical systems, applying data-mining techniques, will be collated and simplified, allowing specialists to make evidence-based decisions. Eighty percent of Spain’s healthcare budget is spent on four chronic illnesses, namely high blood pressure, diabetes, chronic obstructive pulmonary disease (COPD) and heart failure. Working from this eyecatching figure, this project will not only improve the quality of life of chronic patients but also help to optimize resources.

Digital Transformation

The main technological data-analysis trends like automation, cybersecurity, intelligent communities, omni-channel communications and cloud computing are all here to stay; indeed, they are already changing the relation between patients and health management. As mainstays of digital transformation within healthcare they all help to boost medical efficiency and improve collaboration between healthcare “clients” and their providers. Likewise, they encourage an active patient attitude, helping them to take their own evidence-based health decisions and accept responsibility for their own health.

PAPHOS, driving digital transformation in the processing of healthcare information, works with structured and unstructured data that, once processed, generates clinical decision-making evidence. Given the sensitive nature of such data, GMV complies with all current security and privacy legislation while working with it.

This ambitious project has been promoted by EIT Health, one of the world’s biggest healthcare technology initiatives. Technology group GMV is one of EIT Health’s members, and in the PAPHOS project it has participated not only with other firms but also research centers and universities like ATOS, Aventyn, Bull, Ceateach, Universidad Politécnica de Madrid, Université Grenoble Alpes, Université Pierre et Marie Curie(UPM) of Paris and the Royal Institute of Technology (Kungliga Tekniska Högskolan: KTH) of Stockholm.


Source URL: https://gmv.com/communication/press-room/press-releases/gmv-applies-big-data-personalization-clinical-treatment