Is Your Data Correct, Complete and Consistent?

Data quality in medical imaging is crucial for efficient workflow, effective data orchestration, and reliable research. It is also a key steppingstone to driving the maximum value out of data that healthcare providers currently store in their archives. Three key aspects of data quality to consider are correctness, completeness, and consistent labeling. Let’s explore each […]