Project Information
Azure Databricks
Synapse
Increaed Productivity
Reduction in cost associated with unnecessary staff
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TrueNorth collaborated with a healthcare organization to reduce the financial and operational burden of patient readmissions.
Using AI-driven predictive modelling, the team built a system that classifies patients by readmission risk, enabling hospitals to take proactive interventions that improve patient outcomes and lower costs.
Hospital readmissions are costly, averaging over $16,000 per case, and often result in penalties for healthcare providers.
The client needed a scalable solution that could:
Traditional models were static and reactive, lacking the granularity needed to personalize patient care plans.
TrueNorth applied AI-based risk modelling to historical patient data, developing an intelligent scoring system that assigns dynamic risk levels and suggests tailored follow-up actions.
Data Preparation & Feature Engineering
Predictive Modelling
Risk-Based Treatment Strategy
Collect & Correlate
Application submission
Inspection
Release Letter
Premium Collection
Insurance Permit
TrueNorth’s predictive care management framework allowed the healthcare provider to shift from reactive to preventative intervention, ensuring that at-risk patients receive the right level of support post-discharge.
This approach not only improved patient well-being but also delivered measurable cost savings and operational efficiency.
Can the model be adapted for different hospital departments?
How often are the risk scores updated?
Does this integrate with existing hospital systems?
