Using a risk-based approach, data managers can safeguard personal information used for secondary purposes. Privacy Analytics CORE enables statisticians and data analysis professionals to gain deeper insight from de-identified information that is compliant with HIPAA and other legal requirements.
Privacy Analytics CORE de-identifies and masks data for secondary purposes from multiple sources, from homogeneous to more complex heterogeneous data sets. The software combines de-identification capabilities with intelligent masking across databases to ensure personal information is thoroughly protected.
Privacy Analytics CORE integrates with different IT environments through a scripting API. As a result, it can be integrated with external applications, as well as support specification-based processing through command-line calls. The API also enables the scheduling of incremental batch processing, while intelligently referring back to the original data set to determine recent changes
“Privacy Analytics CORE provides a sound evidentiary basis for substantiating the claim that personal information is de-identified. It also allows for appropriate security safeguards to protect the data based on an empirically assessed risk of re-identification in the recipient environment.”- Anita Fineberg, LL.B., CIPP/C, Privacy Lawyer and Consultant
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- Provides a defensible approach and audit trail
- Improves cost effectiveness
- Mitigates risk
- Speeds ability to anonymize and share large data sets
- Saves privacy officers time
- Ensures high analytics utility (valuable data)