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**Data quality and standardization** are also key issues. The accuracy and reliability of the data are essential for meaningful analysis. This means ensuring that the data is complete, accurate, and consistent. Standardization involves using common data formats and coding systems to make it easier to share and analyze data across different healthcare providers. This helps in minimizing errors and ensuring that the insights derived from the data are dependable.
