The scope of this project focuses on analyzing synthetic medical records from Massachusetts General Hospital between 2011 and 2022 to understand key operational and clinical challenges.

The analysis covers patient demographics, readmission patterns, length of stay, procedure costs, and insurance coverage gaps. It also examines how these factors affect patient outcomes, hospital efficiency, and overall resource utilization, with the goal of identifying high-risk groups, cost drivers, and areas where care delivery can be optimized. The approach involves a structured workflow beginning with comprehensive data cleaning and preparation to ensure consistency and accuracy across the dataset.

Exploratory data analysis (EDA) is then performed to uncover trends, correlations, and anomalies that guide deeper investigation. Using statistical analysis and visualization techniques, the project identifies patterns related to readmissions, costs, and service utilization.

Finally, insights are summarized into actionable recommendations to help the hospital reduce operational costs, improve patient outcomes, and allocate resources more efficiently.