使用区块链技术维护患者记录的分散式医疗网络

IF 1.2 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Cybernetics and Information Technologies Pub Date : 2022-11-01 DOI:10.2478/cait-2022-0043
M. Sumathi, S. Raja, N. Vijayaraj, M. Rajkamal
{"title":"使用区块链技术维护患者记录的分散式医疗网络","authors":"M. Sumathi, S. Raja, N. Vijayaraj, M. Rajkamal","doi":"10.2478/cait-2022-0043","DOIUrl":null,"url":null,"abstract":"Abstract Personal Medical Records (PMR) manage an individual’s medical information in digital form and allow patients to view their medical information and doctors to diagnose diseases. Today’s institution-dependent centralized storage, fails to give trustworthy, secure, reliable, and traceable patient controls. This leads to a serious disadvantage in diagnosing and preventing diseases. The proposed blockchain technique forms a secured network between doctors of the same specialization for gathering opinions on a particular diagnosis by sharing the PMR with consent to provide better care to patients. To finalize the disease prediction, members can approve the diagnosis. The smart contract access control allows doctors to view and access the PMR. The scalability issue is resolved by the Huffman code data compression technique, and security of the PMR is achieved by an advanced encryption standard. The proposed techniques’ requirements, latency time, compression ratio and security analysis have been compared with existing techniques.","PeriodicalId":45562,"journal":{"name":"Cybernetics and Information Technologies","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Decentralized Medical Network for Maintaining Patient Records Using Blockchain Technology\",\"authors\":\"M. Sumathi, S. Raja, N. Vijayaraj, M. Rajkamal\",\"doi\":\"10.2478/cait-2022-0043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Personal Medical Records (PMR) manage an individual’s medical information in digital form and allow patients to view their medical information and doctors to diagnose diseases. Today’s institution-dependent centralized storage, fails to give trustworthy, secure, reliable, and traceable patient controls. This leads to a serious disadvantage in diagnosing and preventing diseases. The proposed blockchain technique forms a secured network between doctors of the same specialization for gathering opinions on a particular diagnosis by sharing the PMR with consent to provide better care to patients. To finalize the disease prediction, members can approve the diagnosis. The smart contract access control allows doctors to view and access the PMR. The scalability issue is resolved by the Huffman code data compression technique, and security of the PMR is achieved by an advanced encryption standard. The proposed techniques’ requirements, latency time, compression ratio and security analysis have been compared with existing techniques.\",\"PeriodicalId\":45562,\"journal\":{\"name\":\"Cybernetics and Information Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cybernetics and Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/cait-2022-0043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cybernetics and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/cait-2022-0043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

摘要个人医疗记录(PMR)以数字形式管理个人的医疗信息,并允许患者查看他们的医疗信息和医生诊断疾病。如今依赖于机构的集中存储无法提供值得信赖、安全、可靠和可追踪的患者控制。这导致了在诊断和预防疾病方面的严重劣势。所提出的区块链技术在相同专业的医生之间形成了一个安全的网络,通过在同意的情况下共享PMR来收集对特定诊断的意见,为患者提供更好的护理。为了最终确定疾病预测,成员可以批准诊断。智能合约访问控制允许医生查看和访问PMR。通过霍夫曼编码数据压缩技术解决了可扩展性问题,并通过先进的加密标准实现了PMR的安全性。将所提出的技术的要求、延迟时间、压缩比和安全性分析与现有技术进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Decentralized Medical Network for Maintaining Patient Records Using Blockchain Technology
Abstract Personal Medical Records (PMR) manage an individual’s medical information in digital form and allow patients to view their medical information and doctors to diagnose diseases. Today’s institution-dependent centralized storage, fails to give trustworthy, secure, reliable, and traceable patient controls. This leads to a serious disadvantage in diagnosing and preventing diseases. The proposed blockchain technique forms a secured network between doctors of the same specialization for gathering opinions on a particular diagnosis by sharing the PMR with consent to provide better care to patients. To finalize the disease prediction, members can approve the diagnosis. The smart contract access control allows doctors to view and access the PMR. The scalability issue is resolved by the Huffman code data compression technique, and security of the PMR is achieved by an advanced encryption standard. The proposed techniques’ requirements, latency time, compression ratio and security analysis have been compared with existing techniques.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cybernetics and Information Technologies
Cybernetics and Information Technologies COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.20
自引率
25.00%
发文量
35
审稿时长
12 weeks
期刊最新文献
A Review on State-of-Art Blockchain Schemes for Electronic Health Records Management Degradation Recoloring Deutan CVD Image from Block SVD Watermark Integration Approaches for Heterogeneous Big Data: A Survey Efficient DenseNet Model with Fusion of Channel and Spatial Attention for Facial Expression Recognition Hybrid Edge Detection Methods in Image Steganography for High Embedding Capacity
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1