Predictive Modeling of Opioid Overdose Using Linked Statewide Medical and Criminal Justice Data

Responding to the opioid crisis requires tools to identify individuals at risk of overdose. Given the expansion of illicit opioid deaths, it is essential to consider risk factors across multiple service systems.To develop a predictive risk model to identify opioid overdose using linked clinical and criminal justice data.A cross-sectional sample was created using 2015 data from 4 Maryland databases: all-payer hospital discharges, the prescription...