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

Abstract

This research took the initial steps to understand the types of data defects and detect defects in large healthcare datasets. The results generally suggest that healthcare organizations can potentially benefit from focusing on data quality improvement. For those purposes, the taxonomy developed and the approach followed in this study can be adopted.