Smart Archive

Unifying EMR Data for Seamless Patient Record Access.

Project Overview:

The Smart Archive project addressed the challenge of fragmented Electronic Medical Record (EMR) data across multiple legacy systems. I led the development of a centralized reporting solution to provide clinicians and staff with a unified view of patient information, significantly improving data accessibility and reducing operational costs.

Business Challenge:

Northwestern Medicine faced difficulties in efficiently retrieving complete patient records due to data residing in 11 disparate legacy systems. This resulted in:

  • Time-consuming and incomplete data retrieval for patient care.
  • Increased operational costs associated with maintaining multiple legacy applications.

Solution:

I designed and implemented a comprehensive data integration and reporting solution using Microsoft SQL Server technologies. Key components included:

  • Data Integration: Developed SSIS ETL packages to extract, transform, and load data from the 11 legacy systems into a centralized data warehouse.
  • Data Modeling: Created a relational database schema optimized for reporting and data retrieval.
  • Reporting: Designed and deployed interactive reports using SSRS, providing users with a unified view of patient information.

My Role:

As Data Architect, I was responsible for the end-to-end delivery of the Smart Archive solution. My key contributions included:

  • Collaborating with business users to gather and define requirements.
  • Analyzing source system data structures, metadata, and business rules.
  • Developing source-to-target mappings and data transformation logic.
  • Writing complex T-SQL queries, stored procedures, and common table expressions.
  • Developing and optimizing SSIS ETL packages.
  • Ensuring data quality through rigorous validation and testing.
  • Designing and developing SSRS reports.
  • Managing the product backlog and prioritizing development tasks.
  • Conducting user acceptance testing (UAT) and supporting user adoption.

Results/Impact:

The Smart Archive solution delivered significant benefits:

  • Accelerated data retrieval by 10x, enabling clinicians to access patient information more efficiently.
  • Ensured completeness of EMR records, improving the quality of patient care.
  • Reduced legacy application maintenance costs by over $2 million annually.

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The Smart Archive project addressed the challenge of fragmented Electronic Medical Record (EMR) data across multiple legacy systems. I led the development of a centralized reporting solution to provide clinicians and staff with a unified view of patient information, significantly improving data accessibility and reducing operational costs.