The project is structured around a Hospital database with a key table:
- Hospital_data 🏨: Stores details of hospitals, departments, doctors, patients, medical expenses, and admissions/discharges.
✅ Total Patient Count – Finding the total number of patients treated.
✅ Average Number of Doctors per Hospital – Understanding staffing levels.
✅ Top 3 Departments with the Most Patients – Identifying high-demand medical specialties.
✅ Hospital with the Maximum Medical Expenses – Finding cost-intensive hospitals.
✅ Daily Average Medical Expenses – Analyzing hospital spending efficiency.
✅ Longest Hospital Stay – Identifying cases with extended patient stays.
✅ Total Patients Treated Per City – Mapping healthcare demand by location.
✅ Average Length of Stay Per Department – Understanding hospital resource utilization.
✅ Department with the Lowest Patient Count – Finding underutilized specialties.
✅ Monthly Medical Expenses Report – Analyzing hospital costs on a monthly basis.
- SQL (MySQL/PostgreSQL) for data querying and analysis.
- Aggregate functions, GROUP BY, ORDER BY, and JOINS for extracting insights.
- Date functions for calculating stay durations and monthly expenses.
- Introduce predictive analytics for hospital admissions.
- Implement performance metrics for hospital efficiency evaluation.
- Create interactive dashboards for visualizing key insights.
This project is ideal for learning SQL-based data analysis in the healthcare domain, providing valuable business and operational insights for hospitals! 🚀