Risk stratification uses artificial intelligence to identify patients at highest risk and any gaps in their care. Using risk models enables resources to be directed at patients with the greatest needs and those with emerging needs. This approach leads to improvement in care outcomes and cost savings over time. This talk will review a risk stratification model and a data analysis tool. Evidence shows that gaps in care and off-site utilization have decreased.

Learning Objectives:

• Define Risk Stratification, as it is related to population medicine, and its use in the corrections setting.
• Risk stratification uses artificial intelligence to identify patients at the highest risk and any gaps in their care.
• Using risk models enables resources to be directed at patients with the greatest needs and those with emerging needs.
• This approach leads to discuss the main drivers of the risk score, e.g., diagnoses, claim data, hospitalization, ER runs

Level: Basic