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Strengthening Ohio Through Analytics
Strengthening Ohio Through Analytics
Focus includes determining gaps in diagnosis, treatment, social supports, and care management for individuals with OUD.

On October 9th, 2018, a new collaborative data analytics project kick-off: Opportunities to Improve Outcomes for Individuals with Opioid Use Disorder (OUD) in the Criminal Justice System. Collaborating agencies include the Department of Rehabilitation and Correction (DRC) in partnership with Mental Health & Addiction Services (OhioMHAS), Ohio Department of Medicaid (ODM), Ohio Department of Health (ODH), Ohio Department of Job and Family Services (ODJFS), State of Ohio Board of Pharmacy, Ohio Attorney General’s Office, and The Supreme Court of Ohio & The Ohio Judicial System.The Department of Administrative Services (DAS) presented opening remarks to all of the agencies in attendance, representing the truly collaborative nature of this project.

A focus of the project is determining gaps in diagnosis, treatment, social supports, and care management for individuals with OUD. Specifically:

  • Who should we target for early intervention?
  • What service needs are we overlooking?
  • Where should we be focusing our efforts?
  • When is the best time to intervene?
  • How do we improve re-entry programs?

Ultimately, this this analytics project seeks to better understand the relationships between opioid use, its involvement in Ohio’s criminal justice systems, and the availability of existing services and programs that are associated with improved outcomes. This information will assist state leadership in developing policies as part of a comprehensive approach to reduce opioid overdose and deaths, as well as improve public health and safety outcomes.

Ohio Data Analytics exists to unlock State data that drives meaningful social change to make a difference for Ohioans – fixing communities, restoring hope to those most in need, identifying inefficiencies, creating jobs and economic growth, adjusting policies, and predicting and preparing for otherwise unexpected events For questions or additional information, please contact Ohio Data Analytics.