• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

云存储机制在电子医疗系统中的应用:系统综述

A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems.

机构信息

Research Institute of Network and Information Security, Shenzhen University, Shenzhen 518060, China.

College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.

出版信息

Sensors (Basel). 2020 Sep 21;20(18):5392. doi: 10.3390/s20185392.

DOI:10.3390/s20185392
PMID:32967094
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7570508/
Abstract

As the expenses of medical care administrations rise and medical services experts are becoming rare, it is up to medical services organizations and institutes to consider the implementation of medical Health Information Technology (HIT) innovation frameworks. HIT permits health associations to smooth out their considerable cycles and offer types of assistance in a more productive and financially savvy way. With the rise of Cloud Storage Computing (CSC), an enormous number of associations and undertakings have moved their healthcare data sources to distributed storage. As the information can be mentioned whenever universally, the accessibility of information becomes an urgent need. Nonetheless, outages in cloud storage essentially influence the accessibility level. Like the other basic variables of cloud storage (e.g., reliability quality, performance, security, and protection), availability also directly impacts the data in cloud storage for e-Healthcare systems. In this paper, we systematically review cloud storage mechanisms concerning the healthcare environment. Additionally, in this paper, the state-of-the-art cloud storage mechanisms are critically reviewed for e-Healthcare systems based on their characteristics. In short, this paper summarizes existing literature based on cloud storage and its impact on healthcare, and it likewise helps researchers, medical specialists, and organizations with a solid foundation for future studies in the healthcare environment.

摘要

随着医疗管理费用的上涨和医疗服务专家的稀缺,医疗服务机构和机构有必要考虑实施医疗健康信息技术 (HIT) 创新框架。HIT 允许健康协会简化其庞大的周期,并以更高效和更具成本效益的方式提供服务。随着云存储计算 (CSC) 的兴起,许多协会和企业已经将其医疗保健数据源迁移到分布式存储。由于信息可以随时随地被访问,因此信息的可用性成为当务之急。然而,云存储中断会极大地影响可用性水平。与云存储的其他基本变量(例如可靠性质量、性能、安全性和保护)一样,可用性也会直接影响电子医疗保健系统中云存储中的数据。在本文中,我们系统地审查了医疗环境中的云存储机制。此外,本文还根据电子医疗保健系统的特点,对最先进的云存储机制进行了批判性审查。简而言之,本文基于云存储及其对医疗保健的影响总结了现有文献,也为研究人员、医疗专家和组织在医疗保健环境中未来的研究提供了坚实的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/b92e2b9a2e47/sensors-20-05392-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/4fa1d59bd08d/sensors-20-05392-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/4b894c3112e6/sensors-20-05392-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/cc56fef066ae/sensors-20-05392-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/25cc4efe456b/sensors-20-05392-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/9c7bc6d92cfe/sensors-20-05392-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/e05b4a6ac995/sensors-20-05392-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/b92e2b9a2e47/sensors-20-05392-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/4fa1d59bd08d/sensors-20-05392-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/4b894c3112e6/sensors-20-05392-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/cc56fef066ae/sensors-20-05392-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/25cc4efe456b/sensors-20-05392-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/9c7bc6d92cfe/sensors-20-05392-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/e05b4a6ac995/sensors-20-05392-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/597f/7570508/b92e2b9a2e47/sensors-20-05392-g007.jpg

相似文献

1
A Systematic Review on Cloud Storage Mechanisms Concerning e-Healthcare Systems.云存储机制在电子医疗系统中的应用:系统综述
Sensors (Basel). 2020 Sep 21;20(18):5392. doi: 10.3390/s20185392.
2
eHealth Cloud Security Challenges: A Survey.电子健康云安全挑战:调查
J Healthc Eng. 2019 Sep 3;2019:7516035. doi: 10.1155/2019/7516035. eCollection 2019.
3
Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management.混合方法提高云存储管理中数据可靠性的性能
Sensors (Basel). 2022 Aug 10;22(16):5966. doi: 10.3390/s22165966.
4
Government Cloud Computing Policies: Potential Opportunities for Advancing Military Biomedical Research.政府云计算政策:推进军事生物医学研究的潜在机遇。
Mil Med. 2018 Nov 1;183(11-12):e438-e447. doi: 10.1093/milmed/usx114.
5
IFHDS: Intelligent Framework for Securing Healthcare BigData.IFHDS:保障医疗大数据安全的智能框架。
J Med Syst. 2019 Mar 27;43(5):124. doi: 10.1007/s10916-019-1250-4.
6
Behavioral Reference Model for Pervasive Healthcare Systems.普适医疗系统的行为参考模型
J Med Syst. 2016 Dec;40(12):270. doi: 10.1007/s10916-016-0632-0. Epub 2016 Oct 14.
7
Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan.具有灾难恢复计划的电子健康云环境中的安全与隐私保护方法。
Comput Biol Med. 2016 Nov 1;78:1-8. doi: 10.1016/j.compbiomed.2016.09.003. Epub 2016 Sep 12.
8
Fine-grained Database Field Search Using Attribute-Based Encryption for E-Healthcare Clouds.使用基于属性加密的细粒度数据库字段搜索用于电子医疗云
J Med Syst. 2016 Nov;40(11):235. doi: 10.1007/s10916-016-0588-0. Epub 2016 Sep 21.
9
Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges.云辅助医疗系统中的数据隐私:现状与未来挑战。
J Med Syst. 2016 Jun;40(6):155. doi: 10.1007/s10916-016-0509-2. Epub 2016 May 7.
10
Transforming Tele-Ophthalmology: Utilizing Cloud Computing for Remote Eye Care.远程眼科:利用云计算实现远程眼科护理。
Stud Health Technol Inform. 2024 Apr 26;313:215-220. doi: 10.3233/SHTI240040.

引用本文的文献

1
Comparative prospects of imaging methods for whole-brain mammalian connectomics.全脑哺乳动物连接组学成像方法的比较前景
Cell Rep Methods. 2025 Feb 24;5(2):100988. doi: 10.1016/j.crmeth.2025.100988. Epub 2025 Feb 18.
2
Biomedical blockchain with practical implementations and quantitative evaluations: a systematic review.具有实际应用和定量评估的生物医学区块链:系统评价。
J Am Med Inform Assoc. 2024 May 20;31(6):1423-1435. doi: 10.1093/jamia/ocae084.
3
Brave New Healthcare: A Narrative Review of Digital Healthcare in American Medicine.

本文引用的文献

1
The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review.大数据背景下患者数据所有权的学术观点:范围综述。
J Med Internet Res. 2020 Aug 18;22(8):e22214. doi: 10.2196/22214.
2
Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.智能机器学习方法在电子医疗中使用临床数据有效识别糖尿病
Sensors (Basel). 2020 May 6;20(9):2649. doi: 10.3390/s20092649.
3
What was lost, missing, sought and hoped for: Qualitatively exploring medical crowdfunding campaign narratives for Lyme disease.
《勇敢的新医疗保健:美国医学中数字医疗保健的叙事性综述》
Cureus. 2023 Oct 4;15(10):e46489. doi: 10.7759/cureus.46489. eCollection 2023 Oct.
4
The construction and operational models of internet hospitals in China: a hospital-based survey study.中国互联网医院的建设与运营模式:一项基于医院的调查研究。
BMC Health Serv Res. 2023 Jun 21;23(1):669. doi: 10.1186/s12913-023-09675-2.
5
Energy saving strategy of cloud data computing based on convolutional neural network and policy gradient algorithm.基于卷积神经网络和策略梯度算法的云数据计算节能策略。
PLoS One. 2022 Dec 30;17(12):e0279649. doi: 10.1371/journal.pone.0279649. eCollection 2022.
6
Design of Cloud Storage-Oriented Sports Physical Fitness Monitoring System.面向云存储的体育体能监测系统设计。
Comput Intell Neurosci. 2022 Jun 10;2022:1889381. doi: 10.1155/2022/1889381. eCollection 2022.
7
Security challenges and solutions using healthcare cloud computing.使用医疗云计算的安全挑战与解决方案。
J Med Life. 2021 Jul-Aug;14(4):448-461. doi: 10.25122/jml-2021-0100.
8
Deep Learning Approach for Discovery of In Silico Drugs for Combating COVID-19.深度学习方法用于发现对抗 COVID-19 的计算机药物。
J Healthc Eng. 2021 Jul 20;2021:6668985. doi: 10.1155/2021/6668985. eCollection 2021.
失去、缺失、寻求和希望:为莱姆病的医学众筹活动叙事进行定性探索。
Health (London). 2021 Nov;25(6):707-721. doi: 10.1177/1363459320912808. Epub 2020 Mar 23.
4
An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications.物联网(IoT)网络系统用于连接的安全和健康监测应用。
Sensors (Basel). 2018 Dec 21;19(1):21. doi: 10.3390/s19010021.