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Although the global burden of chronic diseases is rapidly growing, there is currently a mismatch between therapies that the healthcare system is equipped to provide and the interventions demonstrated to address the root causes of these chronic diseases. Since the underlying causes of chronic diseases are substantially lifestyle related, effective therapies require frequent, individualized behavioral interventions, but the intensive care that is traditionally provided in an effort to change behavior does not scale to meet the population’s chronic disease demands. This paper presents an alternative, scalable, technology-enabled framework for behavior change: we propose a “digital therapy” approach that comprises 1. precise targeting of the risk-producing behavior using real-time sensing technology, 2. predictive data analysis to identify the most effective intervention, and 3. delivery of that intervention with health-reinforcing feedback. |
