• 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

相似文献

1
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.健康信息学和电子健康记录在支持 COVID-19 大流行中的临床研究中的作用:概述。
Brief Bioinform. 2021 Mar 22;22(2):812-822. doi: 10.1093/bib/bbaa418.
2
Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response.注意临床分析差距:电子健康记录与 COVID-19 大流行应对。
J Biomed Inform. 2021 Apr;116:103715. doi: 10.1016/j.jbi.2021.103715. Epub 2021 Feb 19.
3
Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado.临床信息学加速了医疗体系对 COVID-19 大流行的适应:来自科罗拉多州的案例。
J Am Med Inform Assoc. 2020 Dec 9;27(12):1955-1963. doi: 10.1093/jamia/ocaa171.
4
A near real-time electronic health record-based COVID-19 surveillance system: An experience from a developing country.基于近乎实时的电子健康记录的 COVID-19 监测系统:来自发展中国家的经验。
Health Inf Manag. 2024 May;53(2):145-154. doi: 10.1177/18333583221104213. Epub 2022 Jul 15.
5
The Clinical Information Systems Response to the COVID-19 Pandemic.临床信息系统应对 COVID-19 大流行的措施。
Yearb Med Inform. 2021 Aug;30(1):105-125. doi: 10.1055/s-0041-1726513. Epub 2021 Sep 3.
6
Management and Data Sharing of COVID-19 Pandemic Information.新型冠状病毒肺炎大流行信息的管理与数据共享
Biopreserv Biobank. 2020 Dec;18(6):570-580. doi: 10.1089/bio.2020.0134.
7
When past is not a prologue: Adapting informatics practice during a pandemic.当过去不是序幕:在大流行期间调整信息学实践。
J Am Med Inform Assoc. 2020 Jul 1;27(7):1142-1146. doi: 10.1093/jamia/ocaa073.
8
A Standard-Based Citywide Health Information Exchange for Public Health in Response to COVID-19: Development Study.基于标准的全市范围卫生信息交换系统在应对 COVID-19 中的应用:开发研究。
JMIR Public Health Surveill. 2022 Sep 27;8(9):e35973. doi: 10.2196/35973.
9
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale.利用人工智能和数据科学技术协调、共享、访问和分析卢旺达 SARS-COV-2/COVID-19 数据(LAISDAR 项目):研究设计和原理。
BMC Med Inform Decis Mak. 2022 Aug 12;22(1):214. doi: 10.1186/s12911-022-01965-9.
10
Use of EHRs in a Tertiary Hospital During COVID-19 Pandemic: A Multi-Purpose Approach Based on Standards.在 COVID-19 大流行期间使用电子健康记录在三级医院中的应用:基于标准的多用途方法。
Stud Health Technol Inform. 2021 May 27;281:28-32. doi: 10.3233/SHTI210114.

引用本文的文献

1
Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language model-based assisted diagnosis system vs. DeepSeek, GPT-3.5, and healthcare professionals with varied professional titles, with task load variation assessment among medical staff.复杂多语言肺癌病理报告标准化数据库生成中准确性和完整性的比较分析:基于大语言模型的辅助诊断系统与DeepSeek、GPT-3.5以及不同职称医疗专业人员的比较,并对医务人员的任务负荷变化进行评估
Front Med (Lausanne). 2025 Aug 22;12:1618858. doi: 10.3389/fmed.2025.1618858. eCollection 2025.
2
Action design research to develop an interactive dashboard to visualise and compare patient data from Irish general practice (CARA).开展行动设计研究,以开发一个交互式仪表板,用于可视化和比较来自爱尔兰全科医疗(CARA)的患者数据。
BMJ Open. 2025 Sep 4;15(9):e086677. doi: 10.1136/bmjopen-2024-086677.
3
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.探索健康的背景性社会决定因素与新冠病毒肺炎发生及住院之间的关系。
Informatics (MDPI). 2024 Mar;11(1). doi: 10.3390/informatics11010004. Epub 2024 Jan 15.
4
Perceptions of nursing informatics on quality of nursing practice and competency among nurses in Jordan.约旦护士对护理信息学在护理实践质量和能力方面的认知
Front Digit Health. 2025 Jul 2;7:1585603. doi: 10.3389/fdgth.2025.1585603. eCollection 2025.
5
Enhancing Consultation Efficiency Through Medical Informatics: A Scalable Field Clinic Model for the Pandemic Response in Taiwan.通过医学信息学提高会诊效率:台湾大流行应对的可扩展现场诊所模式
Healthcare (Basel). 2025 Jun 25;13(13):1514. doi: 10.3390/healthcare13131514.
6
Examine frameworks policies and strategies for effective information governance in healthcare organizations.审视医疗保健组织中有效信息治理的框架、政策和策略。
PLoS One. 2025 Jul 11;20(7):e0327496. doi: 10.1371/journal.pone.0327496. eCollection 2025.
7
Mapping the Advanced-Stage Epithelial Ovarian Cancer Landscape Goes Beyond Words: Two Large Language Models, Eight Tasks, One Journey.绘制晚期上皮性卵巢癌全景远非文字所能描述:两个大语言模型,八项任务,一段征程。
J Clin Med. 2025 Mar 25;14(7):2223. doi: 10.3390/jcm14072223.
8
GPT, ontology, and CAABAC: A tripartite personalized access control model anchored by compliance, context and attribute.GPT、本体论与CAABAC:一种以合规性、上下文和属性为支撑的三方个性化访问控制模型。
PLoS One. 2025 Jan 6;20(1):e0310553. doi: 10.1371/journal.pone.0310553. eCollection 2025.
9
Electronic health records reveal that COVID-19 impacted health resources and survival of Basque population.电子健康记录显示,COVID-19 影响了巴斯克人群的健康资源和生存。
Aging Clin Exp Res. 2024 Nov 29;36(1):228. doi: 10.1007/s40520-024-02884-7.
10
Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics.生物医学与健康信息学的进展、里程碑及未来关注点
Healthcare (Basel). 2024 Oct 15;12(20):2041. doi: 10.3390/healthcare12202041.

本文引用的文献

1
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network.寻找替代指标:利用疾病替代指标在国际网络中快速开发和验证针对 COVID-19 结局的个体化风险计算器。
BMC Med Res Methodol. 2022 Jan 30;22(1):35. doi: 10.1186/s12874-022-01505-z.
2
Large-Scale Multi-omic Analysis of COVID-19 Severity.大规模多组学分析 COVID-19 严重程度。
Cell Syst. 2021 Jan 20;12(1):23-40.e7. doi: 10.1016/j.cels.2020.10.003. Epub 2020 Oct 8.
3
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study.在一项国际网络研究中,对 34128 名因 COVID-19 住院的成年患者进行深度表型分析。
Nat Commun. 2020 Oct 6;11(1):5009. doi: 10.1038/s41467-020-18849-z.
4
Blockchain in Healthcare: Insights on COVID-19.区块链在医疗保健领域的应用:COVID-19 的洞察。
Int J Environ Res Public Health. 2020 Sep 30;17(19):7167. doi: 10.3390/ijerph17197167.
5
Policy-aware data lakes: a flexible approach to achieve legal interoperability for global research collaborations.具备策略意识的数据湖:实现全球研究合作法律互操作性的灵活方法。
J Law Biosci. 2020 Aug 19;7(1):lsaa065. doi: 10.1093/jlb/lsaa065. eCollection 2020 Jan-Jun.
6
Strengthening the UK primary care response to covid-19.加强英国初级医疗保健对新冠疫情的应对措施。
BMJ. 2020 Sep 25;370:m3691. doi: 10.1136/bmj.m3691.
7
SCOR: A secure international informatics infrastructure to investigate COVID-19.SCOR:一个用于调查 COVID-19 的安全国际信息学基础设施。
J Am Med Inform Assoc. 2020 Nov 1;27(11):1721-1726. doi: 10.1093/jamia/ocaa172.
8
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.国际电子健康记录衍生的COVID-19临床病程概况:4CE联盟
NPJ Digit Med. 2020 Aug 19;3:109. doi: 10.1038/s41746-020-00308-0. eCollection 2020.
9
NIH Launches Platform to Serve as Depository for COVID-19 Medical Data.美国国立卫生研究院推出平台,用作新冠病毒医疗数据的存储库。
JAMA. 2020 Jul 28;324(4):326. doi: 10.1001/jama.2020.12646.
10
Public health reporting and outbreak response: synergies with evolving clinical standards for interoperability.公共卫生报告和疫情应对:与不断发展的临床互操作性标准的协同作用。
J Am Med Inform Assoc. 2020 Jul 1;27(7):1136-1138. doi: 10.1093/jamia/ocaa059.

健康信息学和电子健康记录在支持 COVID-19 大流行中的临床研究中的作用:概述。

Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.

机构信息

Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.

IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy.

出版信息

Brief Bioinform. 2021 Mar 22;22(2):812-822. doi: 10.1093/bib/bbaa418.

DOI:10.1093/bib/bbaa418
PMID:33454728
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7929411/
Abstract

The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major challenges and threats for humankind need to be addressed with global answers and shared decisions. Data and their analytics are crucial components of such decision-making activities. Rather interestingly, one of the most difficult aspects is reusing and sharing of accurate and detailed clinical data collected by Electronic Health Records (EHR), even if these data have a paramount importance. EHR data, in fact, are not only essential for supporting day-by-day activities, but also they can leverage research and support critical decisions about effectiveness of drugs and therapeutic strategies. In this paper, we will concentrate our attention on collaborative data infrastructures to support COVID-19 research and on the open issues of data sharing and data governance that COVID-19 had made emerge. Data interoperability, healthcare processes modelling and representation, shared procedures to deal with different data privacy regulations, and data stewardship and governance are seen as the most important aspects to boost collaborative research. Lessons learned from COVID-19 pandemic can be a strong element to improve international research and our future capability of dealing with fast developing emergencies and needs, which are likely to be more frequent in the future in our connected and intertwined world.

摘要

2019 年冠状病毒病(COVID-19)大流行清楚地表明,需要用全球应对措施和共同决策来应对人类的重大挑战和威胁。数据及其分析是此类决策活动的关键组成部分。有趣的是,其中最困难的方面之一是重新使用和共享电子健康记录(EHR)收集的准确和详细的临床数据,即使这些数据具有至关重要的意义。事实上,EHR 数据不仅对于支持日常活动至关重要,而且还可以利用研究并支持有关药物和治疗策略有效性的关键决策。在本文中,我们将集中注意力研究支持 COVID-19 研究的协作数据基础架构,以及 COVID-19 提出的数据共享和数据治理的开放问题。数据互操作性、医疗保健流程建模和表示、处理不同数据隐私法规的共享程序以及数据治理和管理被视为促进协作研究的最重要方面。从 COVID-19 大流行中吸取的经验教训可以成为加强国际研究以及我们未来应对快速发展的紧急情况和需求的能力的重要因素,在我们这个相互关联的世界中,未来可能会更加频繁地出现这种情况。