An Efficient Approach for Preserving the Medical Data using Homo Morphic Encryption

An electronic medical record (EMR) is a computerized medical record created in an organization that delivers care, such as hospital or lab. Emerging policies encourage investigators to disseminate such data in a de-identified form for reuse and collaboration, but organizations are hesitant to do so because they fear such actions will jeopardize patient privacy. The two techniques suppressionbased and generalization-based k-anonymous databases are used to preserve patient�s privacy but reidentification is possible to break that privacy. This paper proposes a well-known cryptographic assumption, a homomorphic encryption that offers patients privacy and the details in a de-identified form. We demonstrate that the proposed approach can generate anonymized data that permit effective biomedical analysis using several patient cohorts derived from the EMR System.