Challenge
The client required actionable insights from fragmented healthcare data and automation to reduce manual review workloads.\n\nSolution: We built ML models for prediction and recommendations, implemented data pipelines, and created dashboards for clinical teams. We also set up retraining and model monitoring to ensure sustained performance.\n\nOutcome: Automation and ML reduced manual review time by 35% and improved key outcome metrics for the client.
