Dashboards for Clinician Monitoring of Patients Through a Mobile Sensing Platform

DESCRIPTION provided by applicant Mental health disorders exact very high personal social and economic costs in our country and around the world presenting a significant public health challenge Clinicians and researchers are currently faced with the difficult task of inferrig patient behavior and treatment adherence between clinic visits through self report and historical behavior Cogitoandapos s mobile sensing platform andquot Cogito Companionandquot objectively measures behavioral patterns via mobile phone sensors and uses these patterns as inputs to predictive models trained against clinical outcomes The models predict mental states such as components of depression distress and anxiety These predictions can then be presented to patients via their mobile phone and clinicians via a clinical dashboard Monitoring analyzing and visualizing changes in quasi real time allow clinicians a new window into understanding patient behavior The storage aggregation and analysis of these novel signals across groups allows for results providing powerful generalizable population level information This Phase II project will include a clinical trial validating the efficacy of the technology in a patient centerd medical home with patients who have comorbid behavioral health conditions Through implementation of this technology into the workflow of an integrated behavioral health program results will be gathered on the efficacy of the technology as evaluated by the impact on provider workflow treatment outcome patient outcome self help behaviors clinical research and the upward trend in costs This validation will lead to a successful Phase III commercialization of the technology PUBLIC HEALTH RELEVANCE Mental health disorders present significant challenges to public health as they are widespread and incredibly costly yet difficult to diagnose monitor or treat Cogito has developed a technology to objectively measure mental health status via novel mobile phone data streams These analyses are presented to both patients and clinicians positively impacting cost of care provider workflow treatment outcome patient engagement self help behavior and clinical research This Phase II application focuses on evaluating the efficacy of this technology in an integrated healthcare setting leading to a successful commercialization