EK2.0 develops artificial intelligence algorithms that, based on the remote monitoring of the behaviour and health conditions of the chronic, fragile or dependent patient, enable the creation of new management tools and solutions for healthcare professionals.
These algorithms provide added value to the current functionalities of the systems used in the clinical and care environment by allowing the integration and learning from data collected by sensors that capture environmental information and personal health or physical activity data, for its integration with the available clinic history data.
The results of the project will be used for the implementation of new tools on an open and interoperable platform to support healthcare professionals’ daily activities inside and outside the hospital, as well as to help on decision-making processes. The developed platform will allow both the incorporation of new data sources and the interconnection to other systems, such as emotional recognition systems or analysis of biometric parameters.
The project counts with a consortium formed by Seidor, a leading multinational in management software consulting solutions, and Eurecat, through its Valorisation Department and eHealth Technological Unit.