Hospital Efficiency Analysis with DEA
- data science
- healthcare
- operations research
- optimization
What it is
A non-parametric efficiency study of hospitals using Data Envelopment Analysis (DEA). It treats each hospital as a decision-making unit converting inputs (beds, staff, occupancy) into outputs (patient satisfaction, quality, communication metrics).
The project computes technical efficiency under both CCR (constant returns) and BCC (variable returns) models, derives scale efficiency, and classifies returns to scale. It combines HCAHPS patient-experience survey data with operational data and produces scorecards, radar charts, and performance matrices. Finding: ~55% of hospitals operate under decreasing returns to scale.
Stack
Python · PuLP (linear programming) · pandas · scikit-learn · matplotlib/seaborn