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🚀 ER360 – Hospital Emergency Room Analytics Dashboard


🌐 Overview

ER360 is a complete Power BI dashboard designed to analyze Emergency Room (ER) operations.
It converts raw hospital and patient flow data into actionable insights — ideal for hospital admins, analysts, BI developers, and decision-makers.


⭐ Key Features

  • ⏱️ Waiting Time Insights – Avg wait time, triage delay, treatment time
  • 🛏️ Bed Utilization – Occupancy %, available vs. occupied beds
  • 🧑‍⚕️ Staff Workload Analysis – Doctor/Nurse allocation, patient-to-staff ratio
  • 🚑 Patient Flow Tracking – Arrival patterns, triage levels, discharge trends
  • 📈 Operational KPIs – ER turnaround time, treatment efficiency

🧱 Architecture

   ┌────────────────────────┐
   │      Data Sources       │
   │ CSV • Excel • SQL DB    │
   └────────────┬───────────┘
                │
   ┌────────────▼────────────┐
   │     Power Query (ETL)    │
   │ Clean • Transform • Merge│
   └────────────┬────────────┘
                │
   ┌────────────▼────────────┐
   │   Data Model (Star)      │
   │ Fact Patients / Dim Staff│
   └────────────┬────────────┘
                │
   ┌────────────▼────────────┐
   │        Power BI          │
   │  KPIs • Charts • Gauges  │
   └──────────────────────────┘

⚙️ Installation & Setup

1️⃣ Open the Dashboard

Hospital ER Dashboard.pbix

2️⃣ Connect Your Data

Compatible with:

  • Excel
  • CSV
  • SQL Database

3️⃣ Refresh the Data Model

Home → Refresh


🖼️ Sample Dashboard

Hospital

Hospital ER Dashboard Preview


🏷️ Badges

Power BI DAX Power Query Data Modeling Status


🧠 Skills Demonstrated

  • Power BI Advanced Dashboarding
  • Healthcare Analytics
  • DAX Calculations & Time Intelligence
  • Power Query Data Cleaning
  • Data Modeling (Star Schema)
  • Performance Optimization
  • KPI Design & UI/UX Principles

🧩 Roadmap

  • Add Drillthrough for Patient Details
  • Add RLS (Role Level Security)
  • Add Forecasting using AI Insights
  • Add Real-time Streaming Data
  • Mobile Layout Optimization

📘 Documentation

A complete Step-by-Step PDF Guide is included with:

  • Data preparation
  • Modeling approach
  • DAX calculation logic
  • Visual design best practices
  • Publishing & sharing

🤝 Contributing

Have ideas to improve this dashboard?
Feel free to open issues or submit pull requests.


⭐ Support This Project

If you found this project helpful, consider giving it a ⭐ on GitHub — your support motivates further improvements!


👨‍💻 About the Author

Hi, I’m Loganathan, a Data Analyst & Power BI Developer passionate about turning complex hospital data into actionable insights.
Thank you for exploring this project — Happy Learning! 🎉📚

📩 Contact:
loganathanvizasia@gmail.com