Abstract: Using Best Practice Recommendations to Improve Data Quality Assurance in An IIS (43rd National Immunization Conference (NIC))

108 Using Best Practice Recommendations to Improve Data Quality Assurance in An IIS

Thursday, April 2, 2009: 9:05 AM
Lone Star Ballroom C4
Mike McPherson
Sue Bowden
Kristin Shore
Mike Parsons
Susan Dickman

Background:
The Modeling of Immunization Registry Operations Workgroup (MIROW) of the American Immunization Registry Association (AIRA) published a “Best Practice” guidebook on “Data Quality Assurance in IIS: Incoming Data” in February 2008. The Kansas Immunization Registry (KSWebIZ) team was able to implement the guide in developing new reports to enhance overall data quality measures in IIS.

Objectives:
Develop new reports that can measure data quality in terms of timeliness, completeness, and accuracy among provider sites by using the “best practice” guidebook on Data Quality Assurance.

Methods:
• Reviewed the “Data Quality Assurance in IIS: Incoming Data” guidebook developed by the American Immunization Registry Association (AIRA) and Modeling of Immunization Registry Operations Workgroup (MIROW).
• Conducted a GAP analysis on existing data quality procedures in KSWebIZ with the recommendations from the guidebook.
• Evaluation of the unmet measures was conducted and those that correlated to timeliness, completeness, and accuracy were prioritized.

Results:
• Gaps were identified.
• New reports to account for data quality measures at both the provider and system levels were developed.
• A summary report was developed to measure timeliness, accuracy, and data completeness at both the provider and system levels.
• Additional new reports gave providers the level of detail needed to take corrective action if errors were identified.

Conclusions:
Using common consensus-based best practice approaches to data quality assurance can provide the basis for system and practice evaluation and improvement.