A Conceptual Framework to Ensure Privacy in Patient Record Management System

Farida Habib Semantha, Sami Azam, Bharanidharan Shanmugam, Kheng Cher Yeo, Abhijith Reddy Beeravolu

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Privacy has become an increasingly significant apprehension in today’s rapidly changing economy primarily for personal and sensitive user data. The levels of personal data violation are increasing day by day however privacy-preserving frameworks are available. This paper conducted an in-depth analysis of contemporary frameworks to identify the key mechanisms to produce a sophisticated data privacy framework to reduce the rate of data breach particularly for the Patient Record Management System (PRMS). There are several studies available that stated healthcare data privacy, still, complete data protection solution with the application of privacy by design towards patients’ health data by ensuring privacy in each layer of the PRMS are quite limited, which is the focus of this study. PRMS manages personal and sensitive data while delivering healthcare services to the patients and as such, have also the potential to carry significant risks to the privacy of their data. A novel conceptual framework with three distinct and sequential phases is
suggested in this research, each of which is defined in a distinct section. The first phase is defined as the planning to identify the key limitations of contemporary frameworks so these can be minimized to ensure privacy in each layer of data processing. The second phase incorporates the key components of data privacy to satisfy the efficiency and effectiveness of the proposed framework. Finally, the third phase is the implementation of the selected requirements of the assessment phase to prevent privacy incursion events in PRMS. The complete framework is anticipated to deliver a sophisticated resistance in contradiction to the continuous data breaches in the patients' information domain
Original languageEnglish
Pages (from-to)165667-165689
Number of pages23
JournalIEEE Access
Publication statusPublished - Dec 2021


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