This project will test the predictive value of integrating hospital data with vital birth records, statewide child protection, and vital death records to identify children who may be at an elevated risk of maltreatment. The project will validate a statewide predictive risk model by determining the extent to which children identified to be “at high-risk” of maltreatment are also at elevated risk of injury, poor health outcomes, and mortality in childhood. The project will also use machine learning methods to train probabilistic algorithms for linking hospital-system data to other administrative data sources. These data linkages aim to better characterize the demographics and public service trajectories of Rady Children’s Hospital patients.
Analysis in Progress.