In 16 weeks, the pilot showed the potential of predictive analytics and led to the formation of Michigan’s Analytics Hub.
It identified regional, demographic, racial and socio-economic differences in the prevalence of delays (e.g., Medicaid cases and cases with younger children and younger custodial parents were more likely to experience delays). These and other insights are enabling proactive mitigation of more than half of Michigan’s delayed child support cases.
The OCS continues to explore how it will apply the initial set of findings, including integrating dynamic risk scores into its case management system. The insights also revealed opportunities to redesign how the OCS interacts with various participants in the child support ecosystem.
Above all, the pilot is building momentum for the OCS’s transformation to become a data-driven organization and to collaborate more effectively with other Health and Human Services organizations.