Health Analytics 2013 (†704)"Pseudonymization or Anonymization?" Health Analytics' Blog (19 June 2013).
- pseudonymized data : Pseudonymization (from pseudonym) allows for the removal of an association with a data subject. It differs from anonymization (anonymous) in that it allows for data to be linked to the same person across multiple data records or information systems without revealing the identity of the person. The technique is recognized as an important method for privacy protection of personal health information. It can be performed with or without the possibility of re-identifying the subject of the data (reversible or irreversible pseudonymization). [Citing: Health Informatics 2008.] (†1615)
- pseudonymized data : In simple terms then, anonymization is used to ensure you don't know whose record you're looking at; "pseudonymization" achieves the same thing but allows you to link multiple pseudonymized data sets together. . . . For example if you have Community Care records and GP records both stored by NHS Number: · If you anonymize both sets of data, you can't then join them to list all records of either type for a single patient, because the NHS numbers in each case have been anonymize in different ways. · If you pseudonymize both record sets, you can still join them together, because the each NHS number is replaced with the same thing in each set. (†1616)