Improving data quality requires a multifaceted approach. Standardizing data collection methods and employing electronic health records (EHR) can minimize inconsistencies. Regular training for data entry personnel can reduce human errors. Implementing robust data validation procedures and using advanced data analytics tools can help identify and rectify data quality issues. Collaborating with other research institutions to establish common data standards and sharing best practices can also enhance data quality.
