This federal Project Grant award from the National Institute on Drug Abuse (CFDA 93.279 Drug Abuse and Addiction Research Programs) provides $1,093,394 to the University of Illinois to develop the "CHICAGO DATA-DRIVEN OUD SCREENING, ENGAGEMENT, TREATMENT AND PLANNING (C-DOSETAP) SYSTEM". The two-year project aims to leverage machine learning, prescription data, and patient-reported measures to assess and address opioid use disorder (OUD) risk and associated health disparities on Chicago's Westside. The project will use this data-driven approach to guide individual clinical care as well as community-level resource allocation and planning to reduce OUD mortality and morbidity. As a comprehensive academic institution with extensive research capabilities, the University of Illinois is well-positioned to execute this innovation project in alignment with the HHS Overdose Prevention Strategy's priorities around primary prevention, harm reduction, treatment, and recovery support.
Generated 7/16/24, 4:21 AM