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Managing data quality in an existing medical data warehouse using business intelligence technologies.
Scott Eaton1, Michael Ostrander, Jennifer Santangelo
1Ohio State University Medical Center, Information Warehouse, Columbus, OH, USA.
The Ohio State University Medical Center developed an online scorecard to monitor data quality within its Information Warehouse (IW). This tool visualizes critical data quality measures for clinical, education, and research users.
Area of Science:
- Health Informatics
- Data Management
- Clinical Data Warehousing
Background:
- The Ohio State University Medical Center (OSUMC) Information Warehouse (IW) supports diverse data needs across clinical, education, and research sectors.
- Accurate and complete data are essential for the services provided by the OSUMC Information Warehouse.
- Existing data quality monitoring may not offer sufficient real-time insights.
Purpose of the Study:
- To develop a system for monitoring data quality within the OSUMC Information Warehouse.
- To provide a user-friendly visualization of critical data quality measures.
- To enhance the reliability of data used for clinical, educational, and research purposes.
Main Methods:
- Development of an online scorecard application.
- Identification and selection of critical data quality measures.
- Implementation of data visualization techniques for scorecard display.
Main Results:
- An online scorecard has been successfully developed and implemented.
- The scorecard provides visualization of key data quality indicators.
- The tool allows for ongoing monitoring of data integrity within the Information Warehouse.
Conclusions:
- The developed online scorecard effectively visualizes critical data quality measures.
- This tool supports the OSUMC Information Warehouse in ensuring data accuracy and completeness.
- Enhanced data quality monitoring benefits all users across clinical, education, and research domains.
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