Difference between revisions of "De-Identified Patient Data"
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| − | De-identified patient data: | + | '''De-identified patient data:''' |
Removal of important identifiers (Birth date, gender, address, age, etc) from the patient data before it is used for research or other purposes. | Removal of important identifiers (Birth date, gender, address, age, etc) from the patient data before it is used for research or other purposes. | ||
| − | Information is de-identified when it is not possible to 'reasonable ascertain' the identity of a person from that data. This depends on the context. | + | Information is de-identified when it is not possible to 'reasonable ascertain' the identity of a person from that data. |
| − | The definition of Irreversible de-identification of data is context driven. The capacity of | + | This depends on the context.The definition of Irreversible de-identification of data is context driven. The capacity of re-identify de-identified data may depend critically on particular resources( Intellectual, Information Technology, Access to multiple data sets).(1) |
| + | Efforts are being made for automatize the anonymization of health information by developing de-identifications models that can successfully remove personal health information. | ||
1. Australian Government. Office of the Privacy Commissioner. | 1. Australian Government. Office of the Privacy Commissioner. | ||
Revision as of 05:13, 23 November 2009
De-identified patient data: Removal of important identifiers (Birth date, gender, address, age, etc) from the patient data before it is used for research or other purposes. Information is de-identified when it is not possible to 'reasonable ascertain' the identity of a person from that data. This depends on the context.The definition of Irreversible de-identification of data is context driven. The capacity of re-identify de-identified data may depend critically on particular resources( Intellectual, Information Technology, Access to multiple data sets).(1) Efforts are being made for automatize the anonymization of health information by developing de-identifications models that can successfully remove personal health information.
1. Australian Government. Office of the Privacy Commissioner.
