Advances in technology have significantly improved data quality in epidemiology. Electronic health records (EHRs), for instance, provide comprehensive and accurate patient data that can be easily accessed and analyzed. Data management systems and data mining techniques offer tools for cleaning, validating, and analyzing large datasets. Additionally, machine learning and artificial intelligence can identify patterns and anomalies, further enhancing data reliability.
