Researchers from the Higher Technical Technical School of Telecommunication Engineers of the Polytechnic University of Madrid participate, together with other international centers, they have developed mathematical algorithms and models that help improve the evaluation times of type 2 diabetes patients to improve their treatment andcontrol.
Currently, the diagnosis of type 2 diabetes is performed once the patient has already developed microvascular complications, so the goal is to identify the first symptoms of the disease and avoid complications derived from it.
This study, funded by the seventh framework program of the European Union, is within the MOSAIC project that applies holistic techniques to the design and validation of technological solutions to improve the health of the population and more specifically of diabetic patients.
As they point out, after the validation of this tool, the objective is to integrate it into the daily use of European health systems."This is also intended to generate important savings for health systems thanks to the reduction of hospitalizations and the optimization of treatments," they explain.
"The algorithms and tools that we design in the MOSAIC project are intended to improve the early diagnosis of type 2 diabetes, the modeling and characterization of patients with this type of disorder and studying the risk of people who visit the consultations of developingType 2 diabetes and its associated complications, "explains Giuseppe Fico, of the Lifestech research group of the UPM and technical director of the project.
The work, developed in the Lifestech group of the telecommunication ETSI is based on the identification and definition of the process of transforming algorithms into decision aid systems for the management and detection of the DMT2 (screening tools) andin the evaluation of the success of the solutions developed.
For this, techniques such as individual interviews and with experts in clinical, health process, business, etc;Analyze system performance in terms of acceptance.
"The decision aid systems developed during the project obtained excellent results that were reflected in a decrease in time and better use during the monitoring visits of diabetic patients and in a proposal on how to perform an" intelligent screening "(throughof algorithms) to prevent DMT2.
In addition, doctors affirmed that the proposed algorithms solved some specific needs, such as establishregional, and were satisfied with their implementation.
With the aim of continuing with the validation and exploitation of the project results, the Lifestech (UPM) group has established a collaboration relationship with the San Carlos Clinical Hospital (HCSC) in Madrid, through the Innovation Unit of the Health Research InstituteSan Carlos (IDISSC).The tools developed in the MOSAIC project will be used by the doctors of the HCSC endocrinology service, in order to carry out a technological transfer and translate innovations in clinical practice.
In the project the universities of Padua and Pavia and the national technique of Athens have participated(Greece).Outstanding clinical trial departments have lent their strategic support: University of Lund (Sweden), Folkhalsan Research Center (Finland) and Salvatore Maugeri Foundation (Italy).The consortium is completed with Iberian Medtronic and AEDEC (Spanish Association for the Development of Clinical Epidemiology), respectively coordinator and scientific director of the project.
