Blockchain-Based E-Medical Record and Data Security Service Management Based on IoMT Resource

Author:

Alsudani Mustafa Qahtan1,Jaber Mustafa Musa23,Malik R. Q.4,Abd Sura Khalil4,Ali Mohammed Hasan1,Alkhayyat Ahmed5ORCID,Khalaf G. A.6

Affiliation:

1. Computer Techniques Engineering Department, Faculty of Information Technology, Imam Ja’afar Al-Sadiq University, Najaf 10023, Iraq

2. Department of Computer Science, Al-Turath University College, Baghdad, Iraq

3. Department of Medical Instruments Engineering Techniques, Al-Farahidi University, Baghdad, Iraq

4. Department of Research and Development, Ministry of Higher Education and Scientific Research, Baghdad, Iraq

5. College of Technical Engineering, The Islamic University, Najaf, Iraq

6. Computer Technical Engineering, Mazaya University College, Thi Qar, Iraq

Abstract

Electronic health records are essential and sensitive since they include vital information and are routinely exchanged across several parties, such as hospitals and private clinics. These data must remain accurate, current, secret, and available only to authorized parties. Integrating these data improves the accuracy and cost-effectiveness of the present health data administration framework. Electronic Medical Records (EMRs) are now kept utilizing the structure of the client/server via whom patient data information is maintained in the hospital. Multiple hospitals use the same database to track a single patient. These limitations prevent a custom health system from providing various associated experts and patients with a cohesive, integrated, secure, and confidential medical history. Modern healthcare systems are distinguished by their complexity and expense. However, this may be mitigated by enhanced health record management and Blockchain technology. The Blockchain’s data availability, confidence, and security characteristics have a bright future in healthcare services, giving solutions to the issues of the traditional customer/server architecture EMR management platform: intricacy, confidence, dependability, compatibility, and anonymity. An e-health record management based on Internet of Medical Things (EHRM-IoMT) is proposed in this paper. This paper explores and analyzes Blockchain efficiency and customer/server paradigms. The findings show that a patient-centred strategy may achieve remarkable success utilizing Blockchain. Moreover, the immutable and accurate data of persons in Blockchain may enable healthcare practitioners to better forecast and aid with diagnosis utilizing the IoMT via machine learning and artificial intelligence.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 6 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

1. Brain Tumor Classification Using UNet Deep Neural Networks from 3D MRI Images;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

2. A Novel Meta-Learning Ensemble Framework for Cancer Classification Using Convolution Neural Networks;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

3. An Adaptive Intrusion Detection System in Industrial Internet of Things(IIoT) using Deep Learning;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

4. Early Prediction and Diagnosis Cardiovascular Disease Using Deep Learning Models;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

5. Bioacoustics Signal Authentication for E-Medical Records Using Blockchain;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

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