Considerations for Implementing Predictive Analytics in Child Welfare

The use of administrative data collected from child welfare and other sectors to support decision-making and improve outcomes continues to evolve. Predictive analytics uses existing data to predict the likelihood of future outcomes.

This document can serve as a guide as jurisdiction leaders embark on engaging in predictive analytics. While many uses of predictive analytics currently exist, some potential uses in child welfare include helping to identify families who may benefit from early intervention services, identifying factors correlated with child safety and placement disruption, and predicting which children are most likely to experience long stays in out-of-home care.

This brief highlights issues associated with applying predictive analytics in child welfare. Included are some considerations for child welfare agencies as they engage in predictive analytics.

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