Predictive Bed & Staff Allocation

What we enabled?

• Forecasted patient admissions and ER load. 

• Predicted bed utilization across wards. 

• Optimized staff scheduling. 

• Improved resource allocation dashboards.

How we did it?

• Built ML models on historical admissions data.

• Integrated real-time inflow metrics. 

• Connected models to hospital management system.

• Visualized predictions via BI dashboards. 

Tech Stack

• ML models in R/Python

• Data pipelines on AWS (S3 + Lambda) 

• Power BI/Tableau dashboards 

• EMR data integration

What we achieved?

• 18% Higher bed utilization efficiency

• 10% Reduction in ER wait times

• 12% Lower staffing costs

• 8% Increase in patient throughput