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Development of systematic approaches for understanding and assessing data quality is becoming increasingly important as the volume and utilization of health data steadily increases. In this study, a taxonomy of data defects was developed and utilized when automatically detecting defects to assess Medicaid data quality maintained by one of the states in the United States.

journal of the american medical informatics association

Understanding and detecting defects in healthcare administration data: Toward higher data quality to better support healthcare operations and decisions