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.
The participation of ISEP is led by the SoftCPS laboratory, being leader of WP1 (Requirements Analysis, Use Cases, and Validation), and working in the interoperability of the IoT devices.
TREAT is an ITEA4 project, with reference number 22022.
Website: https://treatprojects.com/
Budget: 13 M€ (Total), 180 K€ (ISEP)
Period: January 2024 to December 2026
SoftCPS Responsible: Luis Miguel Pinho