Implementation of a data accuracy plan to improve data extraction yield in the Axon Registry®

Area of Science:

• Health Informatics
• Data Management
• Quality Improvement

Background:

• The Axon Registry requires accurate data for quality measurement.
• Prior analysis identified issues in electronic health record (EHR) data mapping and key phrase logic.

Purpose of the Study:

• To improve data quality within the Axon Registry.
• To enhance the methodology for mapping EHR data to the clinical data record (CDR).
• To refine key phrase logic for quality measures.

Main Methods:

• A data quality improvement project focused on the Axon Registry.
• Selected 6 quality measures and participating practice groups for intervention.
• Reviewed data mapping and measure performance pre-intervention.
• Implemented a Data Accuracy Plan (DAP) and analyzed post-intervention data.

Main Results:

• All 6 quality measures and practices showed increased documentation and visit data counts.
• Documentation data counts rose by 815 to 15,782.
• Visit data counts increased by 519 to 16,383.
• Average data yield improved significantly, ranging from 15.34% to 74.40% post-intervention.

Conclusions:

• Substantial improvements in data extraction accuracy were achieved.
• Refined EHR data mapping and key phrase logic were crucial.
• Continued review of data mapping and dictionaries is vital for reliability and validity.