• 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

健康信息管理时代的系统互操作性与数据链接:一项文献计量分析

System interoperability and data linkage in the era of health information management: A bibliometric analysis.

作者信息

Costa Tiago, Borges-Tiago Teresa, Martins Francisco, Tiago Flávio

机构信息

School of Business and Economics, University of the Azores, Ponta Delgada, Azores, Portugal.

Pharmaceutical Services, Unidade de Saúde da Ilha de São Miguel, Ponta Delgada, Azores, Portugal.

出版信息

Health Inf Manag. 2024 Sep 16:18333583241277952. doi: 10.1177/18333583241277952.

DOI:10.1177/18333583241277952
PMID:39282893
Abstract

Across the world, health data generation is growing exponentially. The continuous rise of new and diversified technology to obtain and handle health data places health information management and governance under pressure. Lack of data linkage and interoperability between systems undermines best efforts to optimise integrated health information technology solutions. : This research aimed to provide a bibliometric overview of the role of interoperability and linkage in health data management and governance. : Data were acquired by entering selected search queries into Google Scholar, PubMed, and Web of Science databases and bibliometric data obtained were then imported to Endnote and checked for duplicates. The refined data were exported to Excel, where several levels of filtration were applied to obtain the final sample. These sample data were analysed using Microsoft Excel (Microsoft Corporation, Washington, USA), WORDSTAT (Provalis Research, Montreal, Canada) and VOSviewer software (Leiden University, Leiden, Netherlands). : The literature sample was retrieved from 3799 unique results and consisted of 63 articles, present in 45 different publications, both evaluated by two specific in-house global impact rankings. Through VOSviewer, three main clusters were identified: (i) e-health information stakeholder needs; (ii) e-health information quality assessment; and (iii) e-health information technological governance trends. A residual correlation between interoperability and linkage studies in the sample was also found. : Assessing stakeholders' needs is crucial for establishing an efficient and effective health information system. Further and diversified research is needed to assess the integrated placement of interoperability and linkage in health information management and governance. : This research has provided valuable managerial and theoretical contributions to optimise system interoperability and data linkage within health information research and information technology solutions.

摘要

在全球范围内,健康数据的生成呈指数级增长。获取和处理健康数据的新技术和多样化技术的持续涌现给健康信息管理和治理带来了压力。系统之间缺乏数据链接和互操作性破坏了优化综合健康信息技术解决方案的最大努力。本研究旨在提供一份关于互操作性和链接在健康数据管理与治理中的作用的文献计量综述。通过在谷歌学术、PubMed和科学网数据库中输入选定的搜索查询来获取数据,然后将获得的文献计量数据导入Endnote并检查是否有重复项。将精炼后的数据导出到Excel,在其中应用了多个层次的筛选以获得最终样本。使用微软Excel(美国华盛顿微软公司)、WORDSTAT(加拿大蒙特利尔Provalis Research公司)和VOSviewer软件(荷兰莱顿莱顿大学)对这些样本数据进行分析。文献样本从3799个独特结果中检索而来,由63篇文章组成,发表在45种不同的出版物中,均由两个特定的内部全球影响力排名进行评估。通过VOSviewer,确定了三个主要聚类:(i)电子健康信息利益相关者需求;(ii)电子健康信息质量评估;(iii)电子健康信息技术治理趋势。还发现了样本中互操作性和链接研究之间的残余相关性。评估利益相关者的需求对于建立高效且有效的健康信息系统至关重要。需要进一步开展多样化研究,以评估互操作性和链接在健康信息管理与治理中的综合地位。本研究为优化健康信息研究和信息技术解决方案中的系统互操作性和数据链接提供了有价值的管理和理论贡献。

相似文献

1
System interoperability and data linkage in the era of health information management: A bibliometric analysis.健康信息管理时代的系统互操作性与数据链接:一项文献计量分析
Health Inf Manag. 2024 Sep 16:18333583241277952. doi: 10.1177/18333583241277952.
2
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
3
Global Trends in Cadaver Donation and Medical Education Research: Bibliometric Analysis Based on VOSviewer and CiteSpace.尸体捐赠与医学教育研究的全球趋势:基于VOSviewer和CiteSpace的文献计量分析
JMIR Med Educ. 2025 Aug 18;11:e71935. doi: 10.2196/71935.
4
Comprehensive Global Analysis of Future Trends in Artificial Intelligence-Assisted Veterinary Medicine.人工智能辅助兽医学未来趋势的全球综合分析
Vet Med Sci. 2025 May;11(3):e70258. doi: 10.1002/vms3.70258.
5
[Volume and health outcomes: evidence from systematic reviews and from evaluation of Italian hospital data].[容量与健康结果:来自系统评价和意大利医院数据评估的证据]
Epidemiol Prev. 2013 Mar-Jun;37(2-3 Suppl 2):1-100.
6
Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis.人工智能应用于疼痛管理的研究现状、热点与展望:一项文献计量学与可视化分析
Updates Surg. 2025 Jun 28. doi: 10.1007/s13304-025-02296-w.
7
Public and Research Interest in Telemedicine From 2017 to 2022: Infodemiology Study of Google Trends Data and Bibliometric Analysis of Scientific Literature.2017 年至 2022 年的远程医疗的公众和研究兴趣:谷歌趋势数据的信息流行病学研究和科学文献的文献计量分析。
J Med Internet Res. 2024 May 16;26:e50088. doi: 10.2196/50088.
8
Data-driven trends in critical care informatics: a bibliometric analysis of global collaborations using the MIMIC database (2004-2024).重症监护信息学中数据驱动的趋势:使用MIMIC数据库(2004 - 2024年)对全球合作的文献计量分析
Comput Biol Med. 2025 Sep;195:110670. doi: 10.1016/j.compbiomed.2025.110670. Epub 2025 Jun 27.
9
The measurement and monitoring of surgical adverse events.手术不良事件的测量与监测
Health Technol Assess. 2001;5(22):1-194. doi: 10.3310/hta5220.
10
Eliciting adverse effects data from participants in clinical trials.从临床试验参与者中获取不良反应数据。
Cochrane Database Syst Rev. 2018 Jan 16;1(1):MR000039. doi: 10.1002/14651858.MR000039.pub2.

引用本文的文献

1
Enhancing Interoperability for a Sustainable, Patient-Centric Health Care Value Chain: Systematic Review for Taxonomy Development.增强可持续、以患者为中心的医疗保健价值链的互操作性:分类法开发的系统评价
J Med Internet Res. 2025 Apr 25;27:e69465. doi: 10.2196/69465.
2
Scientometric analysis of research productivity in clinical pharmacy and practice: a 12-year review at a Middle Eastern university.临床药学与实践研究生产力的科学计量分析:对一所中东大学的12年回顾
J Pharm Policy Pract. 2025 Mar 27;18(1):2480154. doi: 10.1080/20523211.2025.2480154. eCollection 2025.

本文引用的文献

1
Interoperability of heterogeneous health information systems: a systematic literature review.异构健康信息系统的互操作性:系统文献回顾。
BMC Med Inform Decis Mak. 2023 Jan 24;23(1):18. doi: 10.1186/s12911-023-02115-5.
2
The Case for Medical Device Interoperability.医疗设备互操作性的理由。
JAMA Health Forum. 2022 Jan 4;3(1):e214313. doi: 10.1001/jamahealthforum.2021.4313.
3
A Profile of the SAIL Databank on the UK Secure Research Platform.英国安全研究平台上的SAIL数据库简介。
Int J Popul Data Sci. 2019 Nov 20;4(2):1134. doi: 10.23889/ijpds.v4i2.1134.
4
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data.使用支持个人健康库的移动健康推荐系统,对服务不足人群的糖尿病进行自我管理:知识图谱和关联数据的用例
JMIR Form Res. 2021 Mar 16;5(3):e24738. doi: 10.2196/24738.
5
Standardized electronic health record data modeling and persistence: A comparative review.标准化电子健康记录数据建模和持久化:比较综述。
J Biomed Inform. 2021 Feb;114:103670. doi: 10.1016/j.jbi.2020.103670. Epub 2020 Dec 25.
6
Good Practice Data Linkage (GPD): A Translation of the German Version.良好实践数据链接(GPD):德文版的翻译。
Int J Environ Res Public Health. 2020 Oct 27;17(21):7852. doi: 10.3390/ijerph17217852.
7
Coronavirus disease 2019 (COVID-19) surveillance system: Development of COVID-19 minimum data set and interoperable reporting framework.2019冠状病毒病(COVID-19)监测系统:COVID-19最小数据集及可互操作报告框架的制定
J Educ Health Promot. 2020 Aug 31;9:203. doi: 10.4103/jehp.jehp_456_20. eCollection 2020.
8
ACTION-EHR: Patient-Centric Blockchain-Based Electronic Health Record Data Management for Cancer Care.ACTION-EHR:基于区块链的以患者为中心的电子健康记录数据管理系统在癌症护理中的应用。
J Med Internet Res. 2020 Aug 21;22(8):e13598. doi: 10.2196/13598.
9
The Current State of Research, Challenges, and Future Research Directions of Blockchain Technology in Patient Care: Systematic Review.区块链技术在患者护理中的研究现状、挑战和未来研究方向:系统评价。
J Med Internet Res. 2020 Jul 20;22(7):e18619. doi: 10.2196/18619.
10
From Raw Data to FAIR Data: The FAIRification Workflow for Health Research.从原始数据到 FAIR 数据:健康研究的 FAIR 化工作流程。
Methods Inf Med. 2020 Jun;59(S 01):e21-e32. doi: 10.1055/s-0040-1713684. Epub 2020 Jul 3.