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

Author:

Alanezi Mohammed Ateeq

Abstract

<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>

Publisher

International Association of Online Engineering (IAOE)

Subject

General Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3