A2H
AMBIENT AI HEALTHCARE

Remote patient monitoring (RPM) transforms healthcare by enabling individuals to manage their health at home. RPM offers early issue detection and better outcomes, reducing strain on healthcare systems while empowering patients. The A2H project advances RPM with a cutting-edge solution that integrates ambient computing and AI, redefining health monitoring with personalized, home-based care.

The A2H project focuses on non-invasive, at-home health monitoring using Ambient Computing and AI, addressing limitations in current healthtech solutions. Existing systems heavily depend on mobile devices, which are invasive and lack continuous monitoring capabilities due to battery constraints. Non-mobile alternatives are often limited to medical device integration, restricting their versatility. In contrast, A2H offers a passive, seamless platform that leverages smart sensors, wearables, and advanced AI for real-time health monitoring.

Supported by CORFO

The development of A2H - AMBIENT AI HEALTHCARE is being supported by InnovaChile through the project titled "A2H - AMBIENT AI HEALTHCARE — Development of an AI-based and ambient computing health monitoring platform, through an international consortium led by Teleker SpA, which develops an on-edge AI home health controller, together with technology partners developing wearable sensors, ambient sensors and software, to offer a non-invasive, private and scalable solution for the prevention and management of chronic and mental diseases.", code 25IATEK-309030, co-financed through the funding instrument known as "INNOVA ALTA TECNOLOGÍA EUREKA".

Project documentation
In compliance with the provisions of Article 25, letter E of Law N°21.722, on the Public Sector Budget for the year 2025, the documentation associated with the project is hereby presented.