PROJECT SUMMARY Approximately 22.2% of adolescents living in the United States between the ages of 12 to 19 are classified as obese. Despite the prevalence of obesity among adolescents, access to intensive behavioral interventions is a challenge, especially for those living in areas where there are limited healthcare specialist trained in these interventions. In addition, transportation may not be feasible depending on the travel distance. FIT Families, the intervention on which our proposal is based, addresses access issues through an at-home evidence-based intervention. This proposal aims to expand the FIT Families intervention through our innovation, the Digital Wellness Nurse (DWN)-FIT, that utilizes mobile technology and automation to increase access, adherence and engagement in healthy behaviors using human-in-the-loop automation, web, and mobile technology to deliver evidence-based interventions. Specifically, this proposal aims to develop and validate a prototype of the DWN-FIT platform; evaluate the DWN-FIT intervention (delivered by 4 Community Healthcare Workers) with 16 obese adolescents and their families; determine the degree to which social support, as an additional element of DWN-FIT, enhances engagement and retention of families in the treatment; conduct user centered evaluations that determine if DWN-FIT meets the needs of families and Community Healthcare Workers during the treatment. In Phase 2 we will expand our randomized trial by increasing the number of participants and length of the intervention and evaluate the differences between the DWN-FIT and a standard treatment based on access, adherence, weight-loss outcomes, and cost benefits. To further evaluate the commercial feasibility of the DWN, in Phase 2 we will prove scalability of the intervention by evaluating the amount of automation needed for the CHWs to increase the number of clients they can treat without reducing the effectiveness of the intervention.