🏥 Healthcare Insights Dashboard

An interactive Streamlit web app for visualizing and analyzing healthcare data. This dashboard provides real-time insights into patient demographics, doctor performance, treatment trends, hospital facility utilization, and billing analysis using Python.

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🚀 Live Dashboard

🔗 Click here to view the Live Streamlit App

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🚀 Features

• 📊 Patient Demographics Analysis

  • Age & Gender distribution
  • City-wise patient count
  • Patient feedback ratings

• 🩺 Doctor Performance Dashboard

  • Average ratings and reviews
  • Specialty-wise analysis
  • Treatment load per doctor

• 💉 Treatment Insights

  • Top treatments & diagnosis trends
  • Admission & discharge patterns
  • Monthly treatment volume

• 🏨 Facility Utilization

  • Department & ward usage
  • Bed occupancy by time
  • Daily footfall analysis

• 💰 Billing Dashboard

  • Revenue trends
  • Treatment cost breakdown
  • Insurance vs Non-insurance billing

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🛠 Tech Stack

• Frontend: Streamlit
• Backend: Python
• Libraries Used:
  • pandas,
  • numpy
  • matplotlib, seaborn, plotly
  • streamlit

📢 Key Recommendations

• Allocate More Staff to Busy Departments

  Increase doctor and nurse availability in high-admission areas like Emergency or Cardiology to reduce wait times and improve care.

• Improve Patient Feedback for Low-Rated Doctors

  Identify doctors with average ratings below 3 and schedule training sessions or feedback reviews to enhance patient experience.

• Focus on Top Cities for Marketing

  Run health awareness campaigns in cities or regions with the most patient visits to attract more patients and build trust.

• Reduce High Treatment Costs

  Review and optimize treatments with the highest average costs to ensure better affordability for patients.

• Enhance Discharge Efficiency

  Speed up the discharge process by streamlining workflows, especially for departments with long hospital stays.

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