Title :
Risk-Based De-Identification of Health Data
Author_Institution :
Children´´s Hosp. of Eastern Ontario, ON, Canada
Abstract :
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.
Keywords :
health care; identification technology; medical computing; risk analysis; security of data; data distortion; data recipient; de-identification; health data set; risk analysis; Cancer; Clinical trials; Costs; Data security; Databases; Hospitals; Information security; Pediatrics; Privacy; data de-identification; healthcare; privacy; re-identification;
Journal_Title :
Security & Privacy, IEEE
DOI :
10.1109/MSP.2010.103
