Privacy Preservation of Digital Health Records in Cloud

Author:

Munjal Kundan,Bhatia Rekha

Abstract

Abstract The variety and amount of patient healthcare digital data is rapidly expanding. The field of artificial intelligence has fast proven revolutionary for healthcare, allowing for unprecedented speed and precision in data analysis. Many hospitals have already transitioned to electronic health records (EHRs), a digital version of paper medical information. Information Technology has already aided in simplifying operations in this area, making the process far more efficient and patient-centered than in the past. A patient’s trust may disintegrate in the face of recurrent incidents if there is no precise control and safety in place. As a result, it limits the potential for digital health to promote an age of more accessible, connected, and individualized treatment. When it comes to picking a cloud solution, healthcare providers are most concerned about security and privacy. In this research, we seek to demonstrate various ways that aid patient data privacy while simultaneously allowing cloud services to be used.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference31 articles.

1. patient-centric authorization framework for electronic healthcare services;Jin;Comput. Secur.,2011

2. Data models for the pseudonymization of dicom data;Abouakil,2011

3. Aspects of privacy for electronic health records;Haas;International journal of medical informatics,2010

4. Enabling location privacy and medical data encryption in patient telemonitoring systems;Maglogiannis;IEEE Transactions on Information Technology in Biomedicine,2009

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