Rule Templates and Linked Knowledge Sources for Rule-based Information Quality Assessment in Healthcare

摘要

Measuring and managing information quality in healthcare has remained largelyrnuncharted territory with few notable exceptions. A rules-based approach to data errorrnidentification was explored through compilation of over 6,000 data quality rules used withrnhealthcare data. The rules were categorized based on topic and logic yielding twenty rulerntemplates and associated knowledge tables used by the rule templates. Knowledge sources for thernknowledge tables were sought and identified for eleven of the twenty rule templates and have tornbe created for the remaining nine. This work provides a framework with which data quality rulesrncan be organized and shared as rule templates and knowledge tables. While there is significantrnadditional work to be done in this area, the exploration of the rule template and associatedrnknowledge tables approach here shows the approach to be possible and scalable.