UIC Awarded major data science grant from the National Institute on Drug Abuse
The Chicago Data-driven Opioid Screening, Engagement, Treatment and Prevention (C-DOSETaP) Program seeks to improve screening for opioid use disorder by using computerized screening combined with patient self-reported information. It is anticipated that this approach will improve care for patients, increase the number of people treated, and reduce injury and death due to opioids in Chicago.
In alignment with the HHS Overdose Prevention Strategy, this R61/R33 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). The project is led by Dr. Niranjan Karnik and involves a number of UIC faculty and Drs. Zulueta, Holden and Smith from the Department of Psychiatry.
Featured Profiles
Niranjan S. Karnik MD, PhD
John Zulueta MD
Christopher Holden MD
