There is a growing need to de-identify data to solve some of healthcare’s most challenging problems. As this need grows, so do concerns over privacy of PHI. To address this, organizations must de-identify personal information using a risk-based approach that goes beyond simple masking techniques in order to produce a high quality dataset that meets their specific needs for secondary use like sophisticated research and analytics.

Privacy Analytics allows healthcare organizations to quickly and easily apply a responsible de-identification methodology that ensures individual privacy and legal compliance.


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