Data De-identification and Anonymization Solutions

RADCube > Services > Data De-identification and Anonymization Solutions

De-identification is the process used to prevent a person’s identity from being connected with information. Common uses of de-identification include human subject research for the sake of privacy for research participants. Common strategies for de-identifying datasets include deleting or masking personal identifiers, such as name and social security number, and suppressing or generalizing quasi-identifiers, such as date of birth and zip code.

Section 164.514(a) of the HIPAA Privacy Rule provides the standard for de-identification of protected health information (PHI) responsibly without the need for patient consent. These mechanisms center on two HIPAA de-identification standards – Safe Harbor,§ 164.514(b)(2) and the Expert Determination Method, § 164.514(b)(1)

Our Approach

Safe Harbor
As per The ‘Safe Harbor’ standard defined in the HIPAA Privacy rule, RADCube determine the resolution to generalize personally identifiable information (PII) which include the 18 specific categories of information defined by HIPAA and we will remove that data as well as the residual information in the data that could be used alone, or in combination with other information, to identify an individual.

Expert Determination
Risk-based approach to De-Identification – we apply current standards and best practices to ensure that an individual will not be identified by their health information.

Our experts have experience with statistical and scientific principles to provide information that is not individually identifiable.

We certify from a risk-based approach that information, whether use alone or in combination with other available information, could not identify an individual.

Our experts provide documentation of results and analysis to ensure all personally identifiable information is protected.