MOSAIC was an EU Project aimed to provide solutions for supporting the early diagnosis and analysis of Diabetes. Our lab developed a Process Mining solution for analyzing the Diabetes patients trajectories
MOSAIC solution has the potential to provide to the clinicians with a new approach to the diagnosis of the patients and the follow up of the chronic population with diabetes, moving towards a strategy more focused on the continuous follow-up and prevention of worsening than in the treatment of acute events. This tool is meant to provide large cost saving amounts in terms of avoided hospitalizations and optimization of treatments.
Diabetes disease is currently growing considerably among the population, reaching prevalence levels of epidemic proportions. In this respect, MOSAIC is an EU-funded European ICT project carried out within the 7th Framework Program devoted to the development of mathematical models and algorithms that can enhance the current tools and standards for the diagnosis of T2DM, IGT and IFG; that can improve the characterization of patients suffering those metabolic disorders and that can help evaluating the risk of developing T2DM and their related complications.
Now you can try the “CITIZEN TOOL” to calculate your risk of developing type 2 diabetes in six years. You just have to complete a short questionnaire and the tool will provide you a risk level and some recommendations according of your results.
This project has, on top of this, the objective to face the following challenges:
More predictive, individualised, effective and safer healthcare:
MOSAIC will contribute to the increase of quality and effectiveness of very specific care processes within the diabetes management programs provided by the healthcare systems in Europe.
Diabetes is a major burden for the healthcare systems, has become a pandemic and affects increasing percentages of the population. For this matter, most European countries have set up screening strategies and management programs in order to improve the outcomes for this disease.
MOSAIC contributes to these programs by providing tools that enable the implementation of better methods for advancing diagnose of type 2 diabetes and prediabetic states, which has the potential to improve the prognostic of the disease as it would allow the personalization and assignment of early treatments. This also has an impact in the quality of life of the diabetic population and leads also to increased productivity of those patients in their advanced ages.
Reinforced leadership of European industry and strengthened multidisciplinary research excellence in supporting innovative medical care:
The MOSAIC consortium is constituted by 10 different partners from 5 EU countries that will collaborate in the definition, design, development and exploitations of the outcomes of this project.
MOSAIC aims at generating new industrial activity by promoting developments around remote monitoring devices and systems and ICT tools for further exploitation of the MOSAIC products. MOSAIC will also explore the capabilities of the models to be modified for its application in other metabolic disorders, opening the door to the creation of new research lines and also for its development and further exploitation.
Accelerated developments of medical knowledge discovery and management in particular through the exploration of environmental factors in predictive models of diseases:
MOSAIC offers a totally innovative approach to the diagnose of diabetes and the assessment of its progression enabling to advance the medical intervention for the prevention of the onset of the worsening of the disease, contributing to maintaining the patients in the healthy ranges.
MOSAIC will contribute to this by generating new medical knowledge to allow the interpretation of the new information and indicators that will be available to the professionals by integrating the predictive models developed within a diabetes management platform where the clinical guides for prevention, developed within the MOSAIC project, can be implemented. This will make these tools accessible to the health professionals in a disease management context for the continuous application of the models and not only as punctual element to be used at the moment of diagnosing.