Hospital readmissions cost the US healthcare system over $26 billion annually. Medicare penalizes hospitals with excessive 30-day readmission rates, making prevention a financial imperative.
The Challenge
Most readmission risk models run at admission or discharge — too late for meaningful intervention. NDN Care Predict scores patients at every shift change, giving care teams real-time visibility.
The stakes are high:
CMS penalties: Hospitals with excess readmissions lose up to 3% of Medicare reimbursementsPatient impact: Readmitted patients have 2x higher mortality riskOperational cost: Each preventable readmission costs $15,000-$25,000Why Traditional Risk Scoring Falls Short
Legacy tools like LACE and HOSPITAL scores use 4-6 static variables. They miss:
Evolving clinical trajectories during the staySocial determinants of health (housing instability, food insecurity)Medication adherence patterns from pharmacy dataPost-discharge resource availability in the patient's communityHow NDN Care Predict Works
**Connect to your EHR** via HL7/FHIR APIs — Epic, Cerner, MEDITECH supported**Ingest 200+ patient signals** — clinical notes, lab values, vitals, social history, medication fills**Score risk continuously** in a HIPAA-compliant Google Cloud pipeline using Vertex AI**Surface actionable alerts** inside existing nursing workflows — no new dashboards to learn### What Makes It Different
Continuous scoring: Risk updates every 4 hours, not just at dischargeExplainable AI: Clinicians see which factors drive each patient's scoreIntervention recommendations: Suggests specific care coordination actionsEHR-native: Alerts appear in existing clinical workflowsProven Results
Health systems using NDN Care Predict report:
28% reduction** in 30-day readmissions within 6 months94% accuracy** in identifying high-risk patients (vs. 62% for LACE)$5.2M annual savings** in avoided CMS penalties for a 12-hospital system3x more patients reviewed** per care coordinator through prioritized worklistsImplementation Timeline
Weeks 1-4: EHR integration and data pipeline setupWeeks 5-12: Model training on your patient populationWeeks 13-16: Clinical workflow integration and staff trainingWeek 17+: Go-live with real-time predictionsThe ROI Case
For a 500-bed hospital with 8% readmission rate:
Preventing just 2 readmissions per week = **$1.5M annual savings**CMS penalty avoidance adds another **$500K-$2M**Typical NDN Care Predict ROI: **4-6x within the first year**Ready to reduce readmissions at your hospital? Schedule a clinical demo with our healthcare AI team.