Mental Health Analysis – Healthcare

Project Type: Power BI Dashboard | Data Analytics | Mental Health + Healthcare

🔍 Project Summary

This Power BI dashboard dives into the mental health status of healthcare workers by exploring burnout frequency, stress levels, job satisfaction, and turnover intention. It highlights the real-world impact of workload, support systems, and communication across medical departments.

📂 Download Project Files

📊 Download Cleaned Dataset 📁 Download Power BI File (.pbix) 📄 Download PDF Report

📸 Dashboard Preview

📈 Key Insights

Doctors in Emergency, Oncology, and Orthopedics report the highest stress levels.
Chronic illnesses in patients/doctors strongly correlate with elevated stress.
Sleep deprivation significantly impacts mental health in healthcare professionals.
Workload levels directly affect job satisfaction and fatigue.
Lack of support systems amplifies mental distress among staff.
Mid-career doctors (ages 30–45) are most prone to burnout.
Better communication reduces stress and boosts staff satisfaction.

✅ Solutions Suggested

Implement sleep-focused scheduling to ensure adequate rest for night shift doctors.

Introduce peer support groups and mental health helplines within hospitals.

Train managers to recognize and reduce departmental overload.

Incorporate burnout tracking KPIs into hospital performance reviews.

🧠 Skills Demonstrated

Power BI Visualization & Storytelling
DAX for health metrics
Data Cleaning using Excel
Research on burnout patterns in healthcare

🚀 Future Enhancements

Add storytelling with bookmarks and drill-through reports
Use real hospital survey data (if available)
Collaborate with a healthcare organization to validate findings

📁 Source Code

View GitHub Repository

📞 Let's Connect

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