Combining data from across the justice, health and human services systems helps jurisdictions identify the highest utilizers of multiple services and their needs. Defining and identifying high utilizers calls for consensus among justice, health and human services system and a formal agreement to share data. Each jurisdiction will determine a definition of high utilizers that works for them. Collaborators on data-driven justice strategies should bring together the appropriate legal, policy and technology leaders to begin the conversation on identifying high utilizers.
This workbook—including team exercises, worksheets and action plan template—is designed to guide communities through the development of their strategies to share data across systems. Teams are encouraged to work through the exercises first, followed by the worksheets and then the action plan.
The Data-Driven Justice (DDJ) Playbook outlines six strategic steps communities can take when building a system that diverts high-utilizers from courts and jails to appropriate treatment and services in the community that can provide long-term stability to individuals’ health and social circumstances. The six strategic steps include building co
King County, Wash., designed its Familiar Faces initiative to better serve high utilizers in the community. King County defined high, or frequent, utilizers as individuals who have been booked in jail four or more times in a 12-month period and have a mental illness and/or substance abuse disorder.
The District of Columbia defined frequent users as individuals who were in the jail and met three criteria: three or more jail stays in the previous three years, three or more shelter stays or more than one year of continuous shelter use in the previous three years and a serious and persistent mental health diagnosis that was documented in Depar
Snohomish County, Wash., identified the profile of the top utilizers of emergency medical services (EMS) in a 10-month period. The 29 individuals who most frequently interacted with emergency services were likely to be in their 50s and close to half were male.