"Optimizing Patient Data Management"

Projects Overview

Centralized data warehouse for integrating multiple healthcare data sources, improving accessibility and data management.

Enhanced reporting capabilities with optimized SQL queries and Python automation.

Provided secure, scalable solutions using Snowflake and Azure Synapse.

Our Process

Step 01

Data Assessment

Analyzed existing data sources and designed a data warehouse schema to accommodate structured and unstructured data.

Step 02

Warehouse Development

Implemented the data warehouse using Snowflake and Azure Synapse with Python-based ETL pipelines.

Step 03

Integration & Reporting

Integrated EHR systems, lab data, and billing records for seamless access and developed SQL-based reports.

Result

Reduced data retrieval time by 50% with optimized query performance.

Improved data accuracy and accessibility for cross-departmental reporting.

Enabled real-time analytics, enhancing patient care decision-making.