Healthcare Data Warehouse Implementation
Umar Iqbal
Data Integration: Integrate data from multiple sources (e.g. EHR systems, billing systems, lab systems) into the data warehouse.
Data Cleansing: Clean and transform data to ensure its quality and consistency.
Data Modeling: Design a data model that supports healthcare reporting and analytics.
Data Warehouse Implementation: Implement a data warehouse using a modern data warehousing platform (e.g. SQL Server, Snowflake) to store and manage healthcare data.
Data Visualization: Design and implement data visualizations using tools such as Tableau and Power BI to help healthcare organizations make data-driven decisions.
Big Data Analytics: Utilize big data technologies such as Hadoop and Spark to perform advanced analytics on large datasets.
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Posted Feb 8, 2023
This project is to design and implement a centralized data warehouse solution for healthcare organizations and improve decision-making through insights.
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