What are the most common data quality issues that impact HIT data accuracy?
Data quality is essential for effective and reliable health information technology (HIT) systems, which support clinical decision making, patient safety, quality improvement, and research. However, data quality issues can arise from various sources and affect the accuracy, completeness, validity, and timeliness of HIT data. In this article, we will discuss some of the most common data quality issues that impact HIT data accuracy and how they can be prevented or resolved.