Consistency in data is crucial for accurate analysis and clinical decision-making. Inconsistent data can lead to errors in diagnosis and treatment, skew research findings, and ultimately affect patient outcomes. For instance, if cancer staging terms differ across records, comparing treatment effectiveness becomes challenging.
