Healthcare Dataset Project
Cleaned and standardized over 50,000 rows of hospital data to build comprehensive Tableau dashboards focused on clinical and operational trends.
Project Evolution
V3.0 - AI Integration (Planned)
FutureAI-powered frontend with workflow recommendations, pattern detection, and automated insights generation for healthcare professionals.
V2.0 - Advanced Analytics
CurrentEnhanced Tableau dashboards with interactive filters, KPI tracking, and Power BI integration for comprehensive reporting.
V1.5 - Visualization Phase
Feburary 2025Created initial Tableau dashboards focusing on patient flow patterns, cost optimization opportunities, and clinical outcomes.
V1.0 - Data Cleaning Foundation
Feburary 2025Comprehensive data cleaning and standardization of 50,000+ healthcare records using Excel and advanced data validation techniques.
What Is This Project?
Massive Data Transformation
Started with over 50,000 rows of messy healthcare data - missing values, inconsistent formats, and data quality issues that needed comprehensive cleaning and standardization.
Interactive Dashboards
Built comprehensive Tableau and Power BI dashboards that transform raw data into actionable insights for healthcare professionals and administrators.
Healthcare Focus
Specifically designed for healthcare analytics - patient flow patterns, clinical outcomes, operational efficiency, and cost optimization insights.
AI-Enhanced (Coming)
Future versions will include AI-powered pattern detection, automated insights generation, and intelligent workflow recommendations for healthcare teams.
Why I Built This Healthcare Analytics Project
Healthcare data is notoriously messy, but it's also incredibly valuable. I wanted to show how proper data engineering can transform chaos into clarity.
Real-World Impact
Healthcare decisions affect lives. Clean, accessible data can improve patient outcomes and operational efficiency in hospitals.
Skill Development
Perfect project to master data cleaning, Excel advanced functions, Tableau dashboards, and prepare for AI integration.
Industry Relevance
Healthcare analytics is a growing field. This project demonstrates domain expertise and technical skills employers value.
Technology Stack & Tools
Data Processing
- Microsoft Excel - Advanced data cleaning
- Data Validation - Quality assurance
- Pivot Tables - Data summarization
- Advanced Formulas - Complex calculations
Visualization
- Tableau - Interactive dashboards
- Power BI - Advanced reporting
- Dynamic Filters - User interaction
- KPI Tracking - Performance metrics
Future Tech
- Python - Statistical analysis
- AI/ML - Pattern detection
- FastAPI - Backend services
- Automation - Workflow optimization
Data Challenges Conquered
Missing Data (15%)
Implemented intelligent imputation strategies and data validation rules to handle missing patient information.
Date Format Chaos
Standardized multiple date formats across admission, discharge, and treatment records for consistent analysis.
Inconsistent Categories
Created standardized taxonomies for diagnoses, treatments, and department classifications.
Outlier Detection
Identified and corrected anomalous values in length of stay, costs, and patient demographics.
Data Relationships
Established proper relationships between patient records, treatments, and outcomes for accurate analysis.
Data Privacy
Implemented proper anonymization and privacy protection measures for sensitive healthcare information.
Key Insights Discovered
Operational Insights
- Peak admission times and seasonal patterns identified
- Average length of stay varies significantly by department
- Cost optimization opportunities in resource allocation
- Staffing patterns correlation with patient outcomes
Clinical Insights
- Treatment effectiveness patterns by condition type
- Readmission rates correlation with discharge planning
- Medication adherence impact on recovery times
- Specialist consultation timing affects outcomes
Interactive Dashboard Preview
Interactive Tableau dashboard showing patient flow patterns, cost analysis, and clinical outcomes. Features dynamic filters for hospital departments, admission types, and time periods.
What I Learned
Technical Skills
- Advanced data cleaning and validation techniques
- Complex dashboard design and user experience
- Healthcare data structures and relationships
- Excel advanced functions and automation
Domain Knowledge
- Healthcare operations and workflow understanding
- Healthcare data privacy and compliance requirements
- Stakeholder communication and requirements gathering
- Business intelligence and decision support systems