https://github.com/deepa115/hospital-powerbi
This Power BI dashboard provides insights into hospital emergency room data over a month period. It analyzes patient wait times, satisfaction scores, admission status, demographics, and referral patterns to optimize hospital resources and improve patient care.
https://github.com/deepa115/hospital-powerbi
datamodeling powerbi powerbi-report
Last synced: 4 months ago
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This Power BI dashboard provides insights into hospital emergency room data over a month period. It analyzes patient wait times, satisfaction scores, admission status, demographics, and referral patterns to optimize hospital resources and improve patient care.
- Host: GitHub
- URL: https://github.com/deepa115/hospital-powerbi
- Owner: deepa115
- Created: 2025-03-02T13:13:59.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-02T13:22:52.000Z (over 1 year ago)
- Last Synced: 2025-12-30T14:41:47.342Z (7 months ago)
- Topics: datamodeling, powerbi, powerbi-report
- Homepage: https://bit.ly/4b1Ck7B
- Size: 1.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# hospital-powerbi
# Hospital Emergency Room Dashboard - Power BI Project
## 📌 Project Overview
This Power BI dashboard provides insights into hospital emergency room data over a month period. It analyzes patient wait times, satisfaction scores, admission status, demographics, and referral patterns to optimize hospital resources and improve patient care.
## 📊 Key Insights
- **Total Patients:** 9,216
- **Average Wait Time:** 35.3 minutes
- **Patient Satisfaction Score:** 4.99/10
- **Admission Rate:**
- Admitted: 50.04%
- Not Admitted: 49.96%
- **Top Referral Departments:**
- General Practice: 1,840 cases
- Orthopedics: 995 cases
- Physiotherapy: 276 cases
- Cardiology: 248 cases
- **Peak Busy Periods:**
- **Busiest Days:** Saturday (1,377 patients), Monday (1,322 patients), Tuesday (1,318 patients)
- **Busiest Hours:** 11 AM, 1 PM, 7 PM, 11 PM
- **Demographics:**
- Largest Age Group: 30-39 years (1,200 patients)
- Largest Race Group: White (2,571 patients)
## 📌 Features & Dashboard Elements
- **Patient Volume Analysis:** Breakdown of patient count by month, day, and hour.
- **Admission and Referral Trends:** Status of patient admissions and department referrals.
- **Wait Time vs. Satisfaction:** Impact of patient wait times on satisfaction scores.
- **Demographic Insights:** Distribution of patients by age, gender, and race.
- **Peak Hour Analysis:** Identifying critical periods for better resource allocation.
## 📂 Project Structure
- `Hospital Project.pbix` - The main Power BI file.
- `Data Sources/` - Folder containing raw and processed data.
- `README.md` - Project documentation.
- `Hospital Project/` - Sample images of the Power BI dashboard.
## 🚀 How to Use
1. **Clone the repository:**
```bash
https://github.com/deepa115/hospital-powerbi.git
```
2. **Open the Power BI file:** Load `Hospital Project.pbix` in Power BI Desktop.
3. **Explore the dashboard:** Use filters and visuals to analyze hospital emergency room trends.
## 📌 Requirements
- Power BI Desktop (latest version)
- Access to the dataset (CSV)
## 📧 Contact
For any queries, feel free to reach out:
- **Email:** deepapalani10@gmail.com
- **GitHub:** [deepa115](https://github.com/deepa115)
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### 🚀 Optimize Hospital Operations with Data-Driven Insights! 📊