"Improving Resource Allocation"

Projects Overview

Analyzed patient inflow patterns to identify resource bottlenecks.

Developed AI-powered models for predictive resource planning.

Enhanced staff scheduling and equipment distribution with real-time insights.

Our Process

Step 01

Data Analysis

Analyzed historical patient inflow and resource usage data to identify optimization opportunities.

Step 02

Model Development

Developed AI models using TensorFlow to predict resource demands.

Step 03

Dashboard Implementation

Integrated Tableau dashboards for real-time resource tracking and planning.

Result

Reduced resource allocation inefficiencies by 35%.

Improved patient care with optimized staff and equipment usage.

Achieved better predictive accuracy for resource planning.