A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System

<p class="0abstract">Privacy and security are crucial when it comes to the implementation of Electronic Healthcare Records (HER). Whenever a patient visits a doctor, their health records are updated since it consists of vital information on the patient's health and well-being. I...

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Autor principal: Mohammed Ateeq Alanezi
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Lenguaje:EN
Publicado: International Association of Online Engineering (IAOE) 2021
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Acceso en línea:https://doaj.org/article/e632d1eec32443a58bf12338ccb326ad
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spelling oai:doaj.org-article:e632d1eec32443a58bf12338ccb326ad2021-11-16T07:23:28ZA Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System2626-849310.3991/ijoe.v17i11.25347https://doaj.org/article/e632d1eec32443a58bf12338ccb326ad2021-11-01T00:00:00Zhttps://online-journals.org/index.php/i-joe/article/view/25347https://doaj.org/toc/2626-8493<p class="0abstract">Privacy and security are crucial when it comes to the implementation of Electronic Healthcare Records (HER). Whenever a patient visits a doctor, their health records are updated since it consists of vital information on the patient's health and well-being. It also comprises of description about the previous and current treatment quality.Multi-Agent Systems can support E-Healthcare applications for improving quality of life. The availability and use of extensive systems for EHR has increased dramatically. The EHR technology currently available consists of health information of various patients which helps those people to monitor their health. These information should be protected from being altered or mishandled. Various studies have been conducted in the past literature to improve the protection and privacy requirements in E-health services. Despite this, it hasn't been entirely improved. This article proposes a Fuzzy based multi-agent system architecture that uses agents and fuzzy logic to monitor the flow and access of the EHR record using fuzzy logic and multi agents. Architecture comprises of multi agent and fuzzy systems are proposed. In this system, we have employed Action/ Computation (Interface) agent, communication interface agent and verification agent and Communication Module Agent. These agents collaboratively worked one another in order to obtain the desired output. These agent based e-health system can increase the accuracy of data transfer by providing additional security in selecting the user who handles the data. It also monitors the communication between different medical units in the health system.</p>Mohammed Ateeq AlaneziInternational Association of Online Engineering (IAOE)articleinformation securityelectronic health recordsagentsfuzzy logicsecurity modelhealth informationComputer applications to medicine. Medical informaticsR858-859.7ENInternational Journal of Online and Biomedical Engineering, Vol 17, Iss 11, Pp 93-102 (2021)
institution DOAJ
collection DOAJ
language EN
topic information security
electronic health records
agents
fuzzy logic
security model
health information
Computer applications to medicine. Medical informatics
R858-859.7
spellingShingle information security
electronic health records
agents
fuzzy logic
security model
health information
Computer applications to medicine. Medical informatics
R858-859.7
Mohammed Ateeq Alanezi
A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
description <p class="0abstract">Privacy and security are crucial when it comes to the implementation of Electronic Healthcare Records (HER). Whenever a patient visits a doctor, their health records are updated since it consists of vital information on the patient's health and well-being. It also comprises of description about the previous and current treatment quality.Multi-Agent Systems can support E-Healthcare applications for improving quality of life. The availability and use of extensive systems for EHR has increased dramatically. The EHR technology currently available consists of health information of various patients which helps those people to monitor their health. These information should be protected from being altered or mishandled. Various studies have been conducted in the past literature to improve the protection and privacy requirements in E-health services. Despite this, it hasn't been entirely improved. This article proposes a Fuzzy based multi-agent system architecture that uses agents and fuzzy logic to monitor the flow and access of the EHR record using fuzzy logic and multi agents. Architecture comprises of multi agent and fuzzy systems are proposed. In this system, we have employed Action/ Computation (Interface) agent, communication interface agent and verification agent and Communication Module Agent. These agents collaboratively worked one another in order to obtain the desired output. These agent based e-health system can increase the accuracy of data transfer by providing additional security in selecting the user who handles the data. It also monitors the communication between different medical units in the health system.</p>
format article
author Mohammed Ateeq Alanezi
author_facet Mohammed Ateeq Alanezi
author_sort Mohammed Ateeq Alanezi
title A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
title_short A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
title_full A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
title_fullStr A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
title_full_unstemmed A Novel Methodology for Providing Security in Electronic Health Record Using Fuzzy Based Multi Agent System
title_sort novel methodology for providing security in electronic health record using fuzzy based multi agent system
publisher International Association of Online Engineering (IAOE)
publishDate 2021
url https://doaj.org/article/e632d1eec32443a58bf12338ccb326ad
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AT mohammedateeqalanezi novelmethodologyforprovidingsecurityinelectronichealthrecordusingfuzzybasedmultiagentsystem
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