TREAT (ITEA)

TREAT aims to increase patient self-efficacy in managing non-communicable diseases including diabetes, heart attacks, cancers and chronic respiratory diseases, by using an asynchronous model and integrating data from wearables, journals, and medical records. In such a model, healthcare access moves from the clinic (system-centric) into the patient's daily life and health management shifts from the clinician to the patient. The project will develop novel wearables and software-based solutions, like semantic interoperability, automated care feedback loops with AI recommendations and novel interfaces using interactive augmented reality, to improve patient self-efficacy while driving clinical efficiencies.