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- W2904331824 abstract "The easiest and convenient approach to exchange and share medical-based information from one domain to another is through the use of Electronic Health Record (EHR). In advanced countries of the world, there are standard legal framework for ensuring security, confidentiality and privacy of medical information. Specifically, absolute privilege should be given to patient to direct, control and provide permission to anyone authorized to handle his medical details. As important as the issue of security and privacy is in healthcare delivery system, many researchers have suggested and even implemented various techniques. Existing solutions to handle this challenge are however suffering from one problem or the other. For instance, encryption technique that requires the use of smartcard for authentication and authorization strictly demands the physical presence of a patient. If however, a patient fails to show up for authorization, a physician will not be able to access basic information regarding the EHR of a patient. Against this backdrop, this paper presents a privacy and security architecture for EHR that gives room for dynamism and flexibility with absolute assurance for patient-regulated authorization. The security framework of this work relies heavily on applied cryptographic techniques (digital signatures) with unbridled integration into Electronic Health Record infrastructure. A patient is required to receive authorization from a medical institution through the provision of his identity number via mobile phone or proxy. The choice of a doctor to access patient’s EHR details depends solely on his role hierarchy. Finally, the framework provides a feedback mechanism for the patient in form of a report through the Doctor’s Feedback Server (DFS)." @default.
- W2904331824 created "2018-12-22" @default.
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- W2904331824 date "2017-12-01" @default.
- W2904331824 modified "2023-09-25" @default.
- W2904331824 title "Dynamic Patient-Regulated Access Control Framework for Electronic Health Information" @default.
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- W2904331824 doi "https://doi.org/10.1109/csci.2017.293" @default.
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