The project is structured around a Hospital database with a key table:
- Hospital_data π¨: Stores details of hospitals, departments, doctors, patients, medical expenses, and admissions/discharges.
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Total Patient Count β Finding the total number of patients treated.
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Average Number of Doctors per Hospital β Understanding staffing levels.
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Top 3 Departments with the Most Patients β Identifying high-demand medical specialties.
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Hospital with the Maximum Medical Expenses β Finding cost-intensive hospitals.
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Daily Average Medical Expenses β Analyzing hospital spending efficiency.
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Longest Hospital Stay β Identifying cases with extended patient stays.
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Total Patients Treated Per City β Mapping healthcare demand by location.
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Average Length of Stay Per Department β Understanding hospital resource utilization.
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Department with the Lowest Patient Count β Finding underutilized specialties.
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Monthly Medical Expenses Report β 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! π