Data Cleansing

Cephal Data cleansing or data cleaning is to detect and correct corrupted or inaccurate records from patient record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

After cleansing, a data set should be consistent with other similar data sets in the system. The inconsistencies detected or removed may have been originally caused by user entry errors, by different data dictionary definitions of similar entities in different stores.

Once clean records are established, health data is ready for internal and external analysis, share with thirty party and regulatory bodies.


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