DATA QUALITY

A video regarding data quality, important considerations, and how they can impact data quality is attached below.
A measure of the state of data based on elements like accuracy, consistency, completeness, and uniqueness is called data quality. When it comes to data quality, being current is another crucial element that everyone should take into account. Poor data quality in a clinical laboratory context might have serious repercussions. Inaccurate analytics can result in wrong conclusions in the lab when dealing with bad data.