Healthcare Data Warehouse

Project Overview

Designed and implemented a comprehensive data warehouse solution for a regional medical center, integrating patient records from multiple hospital systems and enabling advanced analytics for clinical decision support.

Project Scope & Challenges

This project involved several key challenges that required innovative solutions:

Technical Implementation

Data Warehouse Architecture: Built a star schema data warehouse using Oracle with dimension and fact tables optimized for healthcare analytics and reporting.

ETL Development: Created robust ETL processes using Python and Talend to handle data transformation from various source systems including Epic, Cerner, and legacy databases.

Data Quality Management: Implemented comprehensive data validation and cleansing procedures to ensure accuracy of patient records and clinical data.

Real-time Processing: Developed near real-time data feeds for critical patient monitoring and alert systems using change data capture techniques.

Results & Impact

Technologies Used

Database: Oracle 19c, Oracle Data Guard

ETL Tools: Python, Talend Data Integration, Oracle GoldenGate

Analytics: Oracle Analytics Cloud, Tableau

Security: Oracle Advanced Security, Data Masking and Encryption

Interested in Similar Results?

This project demonstrates the type of comprehensive database solutions I deliver for enterprise clients. Whether you're facing similar challenges or have different database needs, I'd be happy to discuss how my expertise can benefit your organization.

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