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Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records

Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records

Bipin Kumar Rai
Copyright: © 2022 |Volume: 11 |Issue: 1 |Pages: 15
ISSN: 2160-9551|EISSN: 2160-956X|EISBN13: 9781683182573|DOI: 10.4018/IJRQEH.297076
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MLA

Rai, Bipin Kumar. "Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records." IJRQEH vol.11, no.1 2022: pp.1-15. http://doi.org/10.4018/IJRQEH.297076

APA

Rai, B. K. (2022). Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records. International Journal of Reliable and Quality E-Healthcare (IJRQEH), 11(1), 1-15. http://doi.org/10.4018/IJRQEH.297076

Chicago

Rai, Bipin Kumar. "Patient-Controlled Mechanism Using Pseudonymization Technique for Ensuring the Security and Privacy of Electronic Health Records," International Journal of Reliable and Quality E-Healthcare (IJRQEH) 11, no.1: 1-15. http://doi.org/10.4018/IJRQEH.297076

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Abstract

An Internet-based Electronic Health Record (EHR) system allows patients to access their medical history whenever they need it. Access to patient records and transactions related to diagnosis is helpful to patients and the health care department and executives. But this practice may lead to major privacy concerns of patients' private data. For EHR adaptation, the major elements are laws and regulations, monetary inducement and hurdles, technology state, and corporation effect. In this paper, I have proposed a Patient Controlled mechanism using the pseudonymization technique for ensuring the security and privacy of Electronic Health records. It is found that most of the potential approaches have used pseudonymization techniques to deal with the issues involved in a healthcare information system. This proposed solution is simple and efficiently ensures the privacy of patient data. Comparative analysis with other existing approaches has been undertaken.