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It analyzes patient wait times, satisfaction scores, admission status, demographics, and referral patterns to optimize hospital resources and improve patient care.\n\n## 📊 Key Insights\n- **Total Patients:** 9,216\n- **Average Wait Time:** 35.3 minutes\n- **Patient Satisfaction Score:** 4.99/10\n- **Admission Rate:**\n  - Admitted: 50.04%\n  - Not Admitted: 49.96%\n- **Top Referral Departments:**\n  - General Practice: 1,840 cases\n  - Orthopedics: 995 cases\n  - Physiotherapy: 276 cases\n  - Cardiology: 248 cases\n- **Peak Busy Periods:**\n  - **Busiest Days:** Saturday (1,377 patients), Monday (1,322 patients), Tuesday (1,318 patients)\n  - **Busiest Hours:** 11 AM, 1 PM, 7 PM, 11 PM\n- **Demographics:**\n  - Largest Age Group: 30-39 years (1,200 patients)\n  - Largest Race Group: White (2,571 patients)\n  \n## 📌 Features \u0026 Dashboard Elements\n- **Patient Volume Analysis:** Breakdown of patient count by month, day, and hour.\n- **Admission and Referral Trends:** Status of patient admissions and department referrals.\n- **Wait Time vs. Satisfaction:** Impact of patient wait times on satisfaction scores.\n- **Demographic Insights:** Distribution of patients by age, gender, and race.\n- **Peak Hour Analysis:** Identifying critical periods for better resource allocation.\n\n## 📂 Project Structure\n- `Hospital Project.pbix` - The main Power BI file.\n- `Data Sources/` - Folder containing raw and processed data.\n- `README.md` - Project documentation.\n- `Hospital Project/` - Sample images of the Power BI dashboard.\n\n## 🚀 How to Use\n1. **Clone the repository:**\n   ```bash\n    https://github.com/deepa115/hospital-powerbi.git\n   ```\n2. **Open the Power BI file:** Load `Hospital Project.pbix` in Power BI Desktop.\n3. **Explore the dashboard:** Use filters and visuals to analyze hospital emergency room trends.\n\n## 📌 Requirements\n- Power BI Desktop (latest version)\n- Access to the dataset (CSV)\n\n## 📧 Contact\nFor any queries, feel free to reach out:\n- **Email:** deepapalani10@gmail.com\n- **GitHub:** [deepa115](https://github.com/deepa115)\n\n---\n### 🚀 Optimize Hospital Operations with Data-Driven Insights! 📊\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepa115%2Fhospital-powerbi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeepa115%2Fhospital-powerbi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeepa115%2Fhospital-powerbi/lists"}