An exploratory data analytics project investigating public hospital bed capacity, utilization rates, and healthcare system strain patterns.
Overview & Analysis
The project processes historical hospital occupancy and admission data to surface trends across acute and community healthcare facilities:
- Evaluates baseline bed capacity versus seasonal demand spikes.
- Generates interactive visual breakdowns of bed occupancy rates (BOR) across different healthcare clusters.
- Identifies operational bottlenecks and variations in length-of-stay (LOS) distributions.
Stack & Tools
- Language: Python
- Libraries: Pandas, NumPy, Matplotlib
- Output: Static reports and interactive web visual dashboards