I built an interactive Excel dashboard that dives deep into hospital admission data, uncovering key patterns behind readmissions. This analysis highlights targeted opportunities to reduce readmission rates, leading to improved patient care, optimized resources, and significant cost savings.

Lowering high readmission rates is an important challenge. As a data analyst, you can tackle this problem with a clear and structured approach. Here's a simple step-by-step plan:

1. Data Acquisition & Integration

2. Exploratory Data Analysis (EDA) & Insights Generation

3. Risk Stratification & Predictive Analytics

4. Identifying Key Drivers & Root Cause Analysis

5. Personalized Intervention Strategies

6. Outcome Measurement & Performance Tracking

7. Regulatory Compliance & Continuous Monitoring