Predictive Analytics for Patient Outcomes
Fragmented patient data across silos made it impossible to predict complications or personalize recovery plans effectively.
25%
improvement in recovery rates
15%
reduction in hospital readmissions
Integrated
data from 5 legacy systems
A centralized data lakehouse architecture with predictive models that score patient risk factors and suggest intervention protocols.
SnowflakedbtTableauAzure ML
