CONFIDENTIAL DATABASES UPDATION USING ANONYMIZATION
Various types of data, including demographics, clinical, and genomic information, are increasingly collected and stored in Electronic Medical Record (EMR) systems. These information are essential for the discovery of new drugs and therapies. But the sharing of this medical data leads to the disclosure of patient’s privacy. The existing policy governing the medical records privacy is HIPAA. This act was passed by the US congress and includes policies about security, use and transfer of records. The Institutional Ethics committee of a medical centre is responsible for protecting the patient information during research, which gets a signed consent before the disclosure of patient medical information and Audit trial systems are used in present scenarios for data protection. The disadvantage is that the identity can be disclosed by violating the laws. Through this project, a framework is proposed which uses the anonymization technique for protecting patient privacy. Two protocols of anonymization namely suppression based and generalization based anonymization are used. Anonymization refers to converting the information into a non human readable form. The anonymized personal information and the non- anonymized treatment details are forwarded for clinical research purpose. The proposed system thus focuses on providing an innovative tool to hospital sector for maintaining privacy and confidentiality of patient details.
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