Healthcare Data Visualization Dashboard

Interactive Tableau Dashboard showcasing key healthcare insights.

📊 Project Overview

This project presents a Tableau-based Healthcare Dashboard designed to offer a clear view of healthcare data. By leveraging interactive visualizations, the dashboard helps stakeholders explore key performance metrics such as patient demographics, treatment outcomes, and resource utilization.

The aim is to provide actionable insights that can help improve healthcare operations, drive better decision-making, and optimize patient care.

🚀 Features

1. Patient Demographics: Visualize trends in patient demographics, including age, gender, and geographic distribution.
   
2. Treatment Outcomes: Track the effectiveness of treatments and patient recovery rates.
   
3. Resource Utilization: Analyze resource allocation across departments and identify areas for improvement.
   
4. Interactive Visualizations: Filter and drill down into data to explore trends and make data-driven decisions.
   
5. Customizable Views: Customize the dashboard to focus on specific metrics relevant to different healthcare stakeholders.

🛠️ Technologies Used

1. Tableau: Used for data visualization and creating interactive dashboards.
   
2. Healthcare Data: Data representing patient demographics, treatment outcomes, and hospital resource allocation.

📥 Installation & Setup

To view the Tableau dashboard:

1. Clone the repository:
   git clone https://github.com/Sarthak-Nigam/healthcare-dashboard.git
   
2. Open the provided .twbx file in Tableau (Tableau Desktop required).
   
3. Explore the interactive dashboard to analyze healthcare metrics.
   
4. For more details on how to install Tableau, visit Tableau Installation Guide.

🎯 Use Cases

This dashboard can be utilized by:

1. Healthcare Administrators: To track overall hospital performance and resource use.
   
2. Doctors: To assess treatment effectiveness and patient recovery rates.
   
3. Analysts: To discover trends and patterns in healthcare data that can influence policy decisions.
   

🔧 Future Enhancements

1. Integration with real-time data sources for live updates.
   
2. Adding predictive analytics to forecast patient inflows and resource needs.
   
3. Expanding the dashboard to include financial metrics such as cost per patient.
   

💡 Contributing

Contributions are welcome! If you have any suggestions or would like to contribute to this project, please open a pull request or raise an issue in the repository.

📄 License

This project is licensed under the MIT License – see the LICENSE file for details.

Connect with Me

Feel free to reach out for questions, feedback, or collaboration opportunities!

GitHub: https://github.com/Sarthak-Nigam/
LinkedIn: https://www.linkedin.com/in/nigamsarthak/