A new study suggests a “health data de-identification policy frontier can provide a broader range of options than a current, popular algorithm,” Health IT Security reports. The study, which was published in the Journal of the American Medical Informatics Association, suggests “rule-based policies can be mapped to a utility (U) and re-identification risk (R) space. Then, they can be searched for a collection, or frontier, of policies that systematically trade off between these goals,” the report states, noting these “R-U frontiers of de-identification policies can be discovered efficiently,” allowing healthcare organizations to “tailor protections to the data recipients’ anticipated needs and trustworthiness.”
Full Story