CTN-0111: COVID-19 and Substance Misuse Case Identification Using Data Science: A Retrospective Cohort Study

November 8, 2021 /

Niranjan Karnik, MD, PhD
Lead Investigator
Rush University, Department of Psychiatry & Behavioral Sciences
niranjan_karnik@rush.edu

This project will assess a potentially important tool set empowered by artificial intelligence techniques for detecting and classifying substance misuse and COVID-19 from the electronic health record (EHR). Specificity and sensitivity of this digital classifier would be thoroughly evaluated using real world EHRs derived from 60,000 patients who have been screened for COVID-19. This research will serve as the first step towards a universal screener that leverages available data in the EHR for opioid misuse prevention and treatment.

    Node Involvement

    Lead Node(s):

  • Great Lakes Node

    • All Participating Nodes:

  • Great Lakes Node