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This project focuses on analyzing hospital data using SQL queries. It provides insights into patient care, medical expenses, hospital performance, and departmental efficiency. The dataset includes hospital names, locations, departments, doctor and patient counts, admission/discharge dates, and medical expenses

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SQL_project_HOSPITAL_DATA

πŸ₯ Hospital Data Analysis using SQL

πŸ“‚ Database & Tables

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.

πŸ” Key Analyses & Insights

βœ… Total Patient Count – Finding the total number of patients treated.
βœ… Average Number of Doctors per Hospital – Understanding staffing levels.
βœ… Top 3 Departments with the Most Patients – Identifying high-demand medical specialties.
βœ… Hospital with the Maximum Medical Expenses – Finding cost-intensive hospitals.
βœ… Daily Average Medical Expenses – Analyzing hospital spending efficiency.
βœ… Longest Hospital Stay – Identifying cases with extended patient stays.
βœ… Total Patients Treated Per City – Mapping healthcare demand by location.
βœ… Average Length of Stay Per Department – Understanding hospital resource utilization.
βœ… Department with the Lowest Patient Count – Finding underutilized specialties.
βœ… Monthly Medical Expenses Report – Analyzing hospital costs on a monthly basis.

πŸ› οΈ Technologies Used

  • 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.

πŸ“Š Future Enhancements

  • 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! πŸš€

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This project focuses on analyzing hospital data using SQL queries. It provides insights into patient care, medical expenses, hospital performance, and departmental efficiency. The dataset includes hospital names, locations, departments, doctor and patient counts, admission/discharge dates, and medical expenses

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