Difference between revisions of "Anonymization of data"
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| + | Data Anonymization is the alteration of PHI that makes it impossible to link individuals with their data. <ref name="Safran">Mohammed, N., Fung, B., Hung, P. C., & Lee, C. K. (2009, June). Anonymizing healthcare data: a case study on the blood transfusion service. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1285-1294). ACM.</ref> | ||
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Data Anonymization is defined as the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. | Data Anonymization is defined as the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. | ||
| − | + | In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full post code must be removed together with any other information which, in conjunction with other data held by or disclosed to the recipient, could identify the patient <ref name="Wikipedia">http://en.wikipedia.org/wiki/Data_anonymization</ref> | |
| − | References | + | ==References== |
| − | + | <references/> | |
Latest revision as of 21:08, 13 November 2015
Data Anonymization is the alteration of PHI that makes it impossible to link individuals with their data. [1]
Data Anonymization is defined as the process of either encrypting or removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full post code must be removed together with any other information which, in conjunction with other data held by or disclosed to the recipient, could identify the patient [2]
References
- ↑ Mohammed, N., Fung, B., Hung, P. C., & Lee, C. K. (2009, June). Anonymizing healthcare data: a case study on the blood transfusion service. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1285-1294). ACM.
- ↑ http://en.wikipedia.org/wiki/Data_anonymization
