Augmented Intelligence for Personalized Patient Lifestyle Improvement based on Wearable Data

Health is one of the pillars of Qatar National Vision 2030. Qatar Foundation has recently restated these objectives as “individualized healthcare and disease prevention driven by emerging research, clinical approach, environment, and lifestyle”. Diabetes and obesity are significant health problems globally and are particularly prevalent in Qatar. These serious conditions are driven by lifestyle factors that require a coordinated effort to address. Health care professionals need smart solutions to help the patients. This project proposes an augmented intelligence integrated system designed to support clinician-researchers, family doctors, and nurses to help patients get a healthy lifestyle. This system recommends physical activities that may lead to a better sleep quality, in order to reduce weight and manage type-2 diabetes using data-driven artificial intelligence models (Zamanya, ActiSLEEP), user-centered designed interactive visualization interfaces (InViTAG, developed by Michael Aupetit), and wearable devices. The AI systems will be designed in collaboration with healthcare professionals and developed and tested on publicly available data with targeted end-users.