In Canada, research ethics boards vary widely in the way they interpret risk to patients when their personal information is being re-used for research purposes. However, many research ethics boards will permit information to be shared without consent when they believe there is a low risk of re-identification. PARAT is Privacy Analytics’ de-identification software tool. […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

A large amount of health-related data is available only in unstructured form (“free-form text”). To share this data for secondary purposes, it is necessary to de-identify it to protect against inappropriate disclosure of personal health information (PHI). PARAT Text is Privacy Analytics’ de-identification software for unstructured data. It automatically discovers and marks PHI in a […]