Chicago Data-driven OUD Screening, Engagement, Treatment and Planning (C-DOSETaP) System

点击翻译按钮获取中文摘要

Project Summary/Abstract In alignment with the HHS Overdose Prevention Strategy, this HEAL Data2Action Innovation Project proposal addresses primary prevention, harm reduction, treatment of OUD, and recovery support using a state-of-the-art data driven approach that will bring together elements of the University of Illinois Hospital and Clinics (UI Health) and University of Illinois Chicago into a single, unified approach that is capable of reducing mortality and morbidity from OUD on the westside of Chicago. We will deploy a combination of machine learning (natural language processing of electronic health records data), state reported prescription monitoring data, and patient reported measures to determine individual and group- level OUD risk across the various UI Health care sites (Priority 2, Innovation Project). We will then use this data at both the individual level (to facilitate clinical care) and at the community/system level (to support resource allocation and planning).