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Risk-Based De-Identification of Health Data

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1 Author(s)
El Emam, K. ; Children''s Hosp. of Eastern Ontario, ON, Canada

This article describes a method for assessing the overall risk of re-identification for a health data set and how that risk information can be used to decide how much to de-identify the data before it's disclosed. Such an approach ensures that the amount of distortion to the data is proportionate to the risk involved in disclosing a particular data set to a particular data recipient.

Published in:

Security & Privacy, IEEE  (Volume:8 ,  Issue: 3 )

Date of Publication:

May-June 2010

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