Almost 50% of adults in developed countries have a chronic disease. The World Health Organization (WHO) indicates that only about 50% of patients with chronic disease are following treatment protocols, and only about 20% following disease prevention recommendations. Chronic disease alone, accounts for 86% of all healthcare spending.
In a mobile-first world, users are always connected – but not always available and attentive. Sweetch is a clinically validated platform that utilizes Artificial Intelligence (AI) to significantly increase individuals’ adherence to essential health promotion, disease prevention and disease management recommendations, in a highly personalized and scalable way.
Raising adherence to disease prevention and disease management recommendations has a greater impact on public health than any improvement in specific medical care.
We believe that every individual deserves to live a healthier life. Sweetch Just-in-Time Adaptive Intervention (JITAI) approach, implements a personalized and fully-automated intervention that focuses on emotional support and motivation in order to drive behavior change.
Our solution has the potential of changing millions of lives by providing those at risk of developing chronic disease with the tools and opportunities to change their behavior and live healthier.
Designed to work in real life, the Sweetch AI-powered Behavioral Intelligence Engine converts millions of data points originating from a user's smartphone, connected devices, and patient reported outcomes, into contextual, hyper-personalized, just-in-time, just-in-place recommendations. Through analyzing the user’s current context, past behaviors and real-world capabilities, Sweetch proprietary algorithms identify the individual’s compliance patterns, and continuously adapt the recommendations to each user leading to significantly improved adherence and ultimately improved health outcomes.
To ensure long-term engagement for sustainable behavior change, Sweetch integrates robust behavioral science approaches alongside persuasive technologies inspired by the worlds of mobile gaming and social empowerment.
Prediction of individual’s chronic disease risk and complications
Data collected from the user's smartphone, connected devices and patient reported outcomes
Data streams are analyzed creating an understanding of the patient's life-habits
The Feedback Loop: personalized and contextual real-time recommendations, which continuously adapt to the user’s behavior