Risk-based De-identification [A Hundred Answers]

Publisher: 
A Hundred Answers
Year of publication: 
2015

“De-identification is particularly important in the health sector, where de-identifying data is often critical to enabling clinical research and analysis. In addition to masking production data for use in development and test systems, we have unique risk-based de-identification knowledge and services to help clients simplify complex testing and development systems while protecting privacy information. Specifically, we are knowledgeable and experienced in de-identifying health information to protect privacy while preserving data utility for clinical analysis. We use various types of masking, generalization and suppression techniques in line with PbD principles, and deliver de-identification methods with the support of Privacy Analytics Inc.”

Language(s): 
English