• 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

云计算环境下的健康信息系统

Health Information System in a Cloud Computing Context.

作者信息

Sadoughi Farahnaz, Erfannia Leila

机构信息

Health Information Management Department, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

出版信息

Stud Health Technol Inform. 2017;236:290-297.

PMID:28508809
Abstract

Healthcare as a worldwide industry is experiencing a period of growth based on health information technology. The capabilities of cloud systems make it as an option to develop eHealth goals. The main objectives of the present study was to evaluate the advantages and limitations of health information systems implementation in a cloud-computing context that was conducted as a systematic review in 2016. Science direct, Scopus, Web of science, IEEE, PubMed and Google scholar were searched according study criteria. Among 308 articles initially found, 21 articles were entered in the final analysis. All the studies had considered cloud computing as a positive tool to help advance health technology, but none had insisted too much on its limitations and threats. Electronic health record systems have been mostly studied in the fields of implementation, designing, and presentation of models and prototypes. According to this research, the main advantages of cloud-based health information systems could be categorized into the following groups: economic benefits and advantages of information management. The main limitations of the implementation of cloud-based health information systems could be categorized into the 4 groups of security, legal, technical, and human restrictions. Compared to earlier studies, the present research had the advantage of dealing with the issue of health information systems in a cloud platform. The high frequency of studies conducted on the implementation of cloud-based health information systems revealed health industry interest in the application of this technology. Security was a subject discussed in most studies due to health information sensitivity. In this investigation, some mechanisms and solutions were discussed concerning the mentioned systems, which would provide a suitable area for future scientific research on this issue. The limitations and solutions discussed in this systematic study would help healthcare managers and decision-makers take better and more efficient advantages of this technology and make better planning to adopt cloud-based health information systems.

摘要

作为一个全球性产业,医疗保健正基于健康信息技术经历一段增长期。云系统的能力使其成为实现电子健康目标的一个选项。本研究的主要目的是评估在云计算环境中实施健康信息系统的优势和局限性,该研究于2016年作为一项系统评价开展。根据研究标准检索了科学Direct、Scopus、科学网、电气与电子工程师协会、医学期刊数据库和谷歌学术。在最初找到的308篇文章中,21篇文章进入最终分析。所有研究都将云计算视为有助于推进健康技术的积极工具,但没有一项研究过多强调其局限性和威胁。电子健康记录系统大多在模型和原型的实施、设计及展示领域进行了研究。根据这项研究,基于云的健康信息系统的主要优势可分为以下几类:经济效益和信息管理优势。基于云的健康信息系统实施的主要局限性可分为安全、法律、技术和人为限制这4类。与早期研究相比,本研究的优势在于处理云平台中的健康信息系统问题。对基于云的健康信息系统实施进行的高频研究表明了健康行业对该技术应用的兴趣。由于健康信息的敏感性,安全是大多数研究中讨论的一个主题。在这项调查中,讨论了有关上述系统的一些机制和解决方案,这将为该问题的未来科学研究提供一个合适的领域。本系统研究中讨论的局限性和解决方案将有助于医疗保健管理人员和决策者更好、更有效地利用这项技术,并做出更好的规划以采用基于云的健康信息系统。

相似文献

1
Health Information System in a Cloud Computing Context.云计算环境下的健康信息系统
Stud Health Technol Inform. 2017;236:290-297.
2
Capabilities and Advantages of Cloud Computing in the Implementation of Electronic Health Record.云计算在电子健康记录实施中的能力与优势。
Acta Inform Med. 2018;26(1):24-28. doi: 10.5455/aim.2018.26.24-28.
3
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.
4
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.
5
Legal framework for health cloud: A systematic review.健康云的法律框架:系统评价。
Int J Med Inform. 2019 Dec;132:103953. doi: 10.1016/j.ijmedinf.2019.103953. Epub 2019 Aug 31.
6
Use of cloud computing in biomedicine.云计算在生物医学中的应用。
J Biomol Struct Dyn. 2016 Dec;34(12):2688-2697. doi: 10.1080/07391102.2015.1127182. Epub 2016 Feb 17.
7
The Current Status and Promotional Strategies for Cloud Migration of Hospital Information Systems in China: Strengths, Weaknesses, Opportunities, and Threats Analysis.中国医院信息系统云迁移的现状与推广策略:优势、劣势、机会与威胁分析
JMIR Med Inform. 2024 Feb 5;12:e52080. doi: 10.2196/52080.
8
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.
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
The monitoring and managing application of cloud computing based on Internet of Things.基于物联网的云计算监测与管理应用
Comput Methods Programs Biomed. 2016 Jul;130:154-61. doi: 10.1016/j.cmpb.2016.03.024. Epub 2016 Apr 1.

引用本文的文献

1
[Research progress in application of intelligent remote follow-up mode in hip and knee arthroplasty].智能远程随访模式在髋膝关节置换术中的应用研究进展
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi. 2025 Mar 15;39(3):375-383. doi: 10.7507/1002-1892.202412071.
2
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.
3
Perceived technology use, attitudes, and barriers among primary care nurses.
基层护理护士对技术使用的认知、态度及障碍
Health SA. 2022 Oct 20;27:2056. doi: 10.4102/hsag.v27i0.2056. eCollection 2022.
4
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.
5
Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation.应用于电子健康记录数据标准化的机器学习模型预测心房颤动事件的评估。
JAMA Netw Open. 2020 Jan 3;3(1):e1919396. doi: 10.1001/jamanetworkopen.2019.19396.