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De-identified data describes records that have a re-identification code and have enough personally identifiable information removed or obscured so that the remaining information does not identify an individual and there is no reasonable basis to believe that the information can be used to identify an individual.

?De-identification? is the general term for the process of removing personal information from a record or data set. De-identification protects the privacy of individuals because once de- identified, a data set is considered to no longer contain personal information.

Common strategies include deleting or masking personal identifiers, such as personal name, and suppressing or generalizing quasi-identifiers, such as date of birth. The reverse process of using de-identified data to identify individuals is known as data re-identification.

As discussed below, the Privacy Rule provides two de-identification methods: 1) a formal determination by a qualified expert; or 2) the removal of specified individual identifiers as well as absence of actual knowledge by the covered entity that the remaining information could be used alone or in combination with other ...

There are two primary de-identification methods: generalizing and randomizing.

In de-identification, you need to remove information that directly identifies an individual and information for which there is a ?reasonable expectation? that the information could be used, either alone or with other information, to identify the individual.

The two HIPAA-compliant methods of de-identifying PHI are the Safe Harbor method and the Expert Determination method.

How can an agency de-identify data? The key to de-identification is the removal of the 'identifiers' of personal information so that the information is not about an identifiable person. Examples of a direct identifier include, an individual's name, address, telephone number or Tax File Number.