Predictive readmission model reducing costs by $4.2M

A 12-hospital network had a 19% 30-day readmission rate — above the national benchmark — resulting in penalties and avoidable costs. Clinical teams lacked tools to identify high-risk patients before discharge.

We delivered an AI readiness assessment, then designed and deployed a readmission risk model trained on 5 years of EHR data. The model surfaces risk scores in the EMR workflow, prompting care coordinators to intervene before discharge.