A recent study quantifies the impact of anonymization on clinical data quality, focusing on primary diagnosis codes and hospital length of stay. This research highlights the potential data integrity issues that may arise from anonymization practices in clinical settings.
quantifying the impact of anonymization induced clinical data quality loss methodological quantitative case study using primary diagnosis codes and hospital length of stay
Original title: “Quantifying the Impact of Anonymization-Induced Clinical Data Quality Loss: Methodological Quantitative Case Study Using Primary Diagnosis Codes and Hospital Length of Stay.”