π Healthcare Database SQL Analytics Project
This project contains a collection of advanced SQL queries built on a healthcare data warehouse designed using a star schema structure. The database includes a central FactTable connected to multiple dimension tables such as:
dimPatient
dimPhysician
dimLocation
dimDiagnosisCode
dimCptCode
dimTransaction
dimPayer
dimDate
The goal of this project is to analyze healthcare operations, financial performance, and patient demographics using real-world business scenarios.
π Key Business Questions Solved
This SQL file answers critical healthcare analytics questions, including:
π° Financial Performance & Revenue Analytics Count of encounters with Gross Charges > $100
Gross Collection Rate (GCR) by location
Total credentialing write-offs (adjustments)
Location with highest adjustment impact
Payments by physician specialty
CPT codes exceeding 100 total units
π₯ Operational Insights Physicians submitting Medicare claims
CPT code distribution by grouping
Diagnosis-based CPT unit analysis (e.g., "J code" diagnoses)
Impact of credentialing adjustments on physicians
π©ββοΈ Patient Demographics & Population Health Unique patient counts
Patient age segmentation (Under 18, 18β65, Over 65)
Gender-based average age analysis
Diabetes (Type 2) patient analysis by location
π§ Skills Demonstrated
Complex JOIN operations across multiple dimension tables
Aggregations using SUM(), COUNT(), AVG()
CASE statements for business logic segmentation
Subqueries with HAVING clauses
Data quality handling (e.g., division-by-zero prevention)
Real-world healthcare KPI calculations
π Business Impact
This project simulates real healthcare analytics reporting, helping stakeholders:
Monitor revenue cycle performance
Evaluate physician and specialty performance
Identify financial leakage (adjustments/write-offs)
Analyze patient demographics and disease trends
Support operational and strategic decision-making
π Technologies Used
SQL (T-SQL compatible syntax) Relational Database Design (Star Schema) Healthcare Revenue Cycle Concepts