• 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

利用健康信息技术基础设施推进联邦研究重点。

Leveraging the health information technology infrastructure to advance federal research priorities.

机构信息

Office of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services, Washington, DC, USA.

Food and Drug Administration, Silver Spring, Maryland, USA.

出版信息

J Am Med Inform Assoc. 2020 Apr 1;27(4):647-651. doi: 10.1093/jamia/ocaa011.

DOI:10.1093/jamia/ocaa011
PMID:32090259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7647255/
Abstract

Ensuring that federally funded health research keeps pace with the explosion of health data depends on better information technology (IT), access to high-quality electronic health data, and supportive policies. Because it prominently funds and conducts health research, the U.S. federal government needs health IT to rapidly evolve and has the ability to drive that evolution. The Office of the National Coordinator for Health Information Technology developed the National Health IT Priorities for Research: A Policy and Development Agenda (the Agenda) that identifies health IT priorities for research in consultation with relevant federal agencies. This article describes support for the Agenda from the Food and Drug Administration, the National Institutes of Health, and the Veterans Health Administration. Advancing the Agenda will benefit these agencies and support their missions as well as the entire ecosystem leveraging the health IT infrastructure or using data from health IT systems for research.

摘要

确保联邦资助的健康研究跟上健康数据的爆炸式增长,取决于更好的信息技术(IT)、获取高质量电子健康数据的机会和支持性政策。由于美国联邦政府显著资助和开展健康研究,因此需要健康 IT 快速发展,并有能力推动这种发展。国家卫生信息技术协调员办公室制定了国家健康信息技术研究优先事项:政策和发展议程(议程),该议程在与相关联邦机构协商的基础上确定了健康信息技术研究的优先事项。本文描述了食品和药物管理局、美国国立卫生研究院和退伍军人健康管理局对该议程的支持。推进该议程将使这些机构受益,并支持其使命,以及整个利用健康信息技术基础设施或使用健康信息技术系统数据进行研究的生态系统。

相似文献

1
Leveraging the health information technology infrastructure to advance federal research priorities.利用健康信息技术基础设施推进联邦研究重点。
J Am Med Inform Assoc. 2020 Apr 1;27(4):647-651. doi: 10.1093/jamia/ocaa011.
2
National health information technology priorities for research: A policy and development agenda.国家卫生信息技术研究重点:政策与发展议程
J Am Med Inform Assoc. 2020 Apr 1;27(4):652-657. doi: 10.1093/jamia/ocaa008.
3
Emergency medicine public health research funded by federal agencies: progress and priorities.联邦机构资助的急诊医学公共卫生研究:进展与优先事项。
Acad Emerg Med. 2009 Nov;16(11):1065-71. doi: 10.1111/j.1553-2712.2009.00555.x.
4
Federal efforts to improve quality of care: the Quality Interagency Coordination Task Force (QuIC).联邦政府提高医疗质量的举措:质量跨部门协调特别工作组(QuIC)。
Jt Comm J Qual Improv. 2001 Feb;27(2):93-100. doi: 10.1016/s1070-3241(01)27009-6.
5
RCTs and the federal government.
Control Clin Trials. 1982 Sep;3(3):173-83. doi: 10.1016/0197-2456(82)90003-4.
6
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.
7
Comparative effectiveness research priorities at federal agencies: the view from the Department of Veterans Affairs, National Institute on Aging, and Agency for Healthcare Research and Quality.联邦机构的比较疗效研究重点:来自退伍军人事务部、国家老龄化研究所和医疗保健研究与质量局的观点。
J Am Geriatr Soc. 2010 Jun;58(6):1187-92. doi: 10.1111/j.1532-5415.2010.02939.x.
8
Regulatory structure for biotechnology proposed.
Science. 1985 Jan 18;227(4684):274. doi: 10.1126/science.11643694.
9
Technology transfer: trends in the federalization of biomedical research.
Acad Med. 1996 Jul;71(7):709-15. doi: 10.1097/00001888-199607000-00001.
10
Role of the federal Government in health and medical affairs.
N Engl J Med. 1968 Nov 21;279(21):1139-47. doi: 10.1056/NEJM196811212792105.

引用本文的文献

1
Clinical Research Informatics: a Decade-in-Review.临床研究信息学:十年回顾
Yearb Med Inform. 2024 Aug;33(1):127-142. doi: 10.1055/s-0044-1800732. Epub 2025 Apr 8.
2
HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.基于 HL7 FHIR 的工具和计划支持临床研究:范围综述。
J Am Med Inform Assoc. 2022 Aug 16;29(9):1642-1653. doi: 10.1093/jamia/ocac105.
3
Opportunities for the use of health information technology to support research.利用健康信息技术支持研究的机会。
JAMIA Open. 2020 Sep 18;3(3):321-325. doi: 10.1093/jamiaopen/ooaa037. eCollection 2020 Oct.
4
Fast-Tracking Health Data Standards Development and Adoption in Real-World Settings: A Pilot Approach.快速跟踪真实环境中健康数据标准的制定和采用:一种试点方法。
Appl Clin Inform. 2021 Aug;12(4):745-756. doi: 10.1055/s-0041-1731677. Epub 2021 Aug 11.
5
Meeting the challenge: Health information technology's essential role in achieving precision medicine.迎接挑战:健康信息技术在实现精准医学中的重要作用。
J Am Med Inform Assoc. 2021 Jun 12;28(6):1345-1352. doi: 10.1093/jamia/ocab032.

本文引用的文献

1
National health information technology priorities for research: A policy and development agenda.国家卫生信息技术研究重点:政策与发展议程
J Am Med Inform Assoc. 2020 Apr 1;27(4):652-657. doi: 10.1093/jamia/ocaa008.
2
The "All of Us" Research Program.“All of Us”研究计划。
N Engl J Med. 2019 Aug 15;381(7):668-676. doi: 10.1056/NEJMsr1809937.
3
Scalable and accurate deep learning with electronic health records.借助电子健康记录实现可扩展且准确的深度学习。
NPJ Digit Med. 2018 May 8;1:18. doi: 10.1038/s41746-018-0029-1. eCollection 2018.
4
Advances in the Use of Real-World Evidence for Medical Devices: An Update From the National Evaluation System for Health Technology.医疗器械真实世界证据的应用进展:来自国家卫生技术评估系统的最新情况
Clin Pharmacol Ther. 2019 Jul;106(1):30-33. doi: 10.1002/cpt.1380. Epub 2019 Mar 19.
5
From Discovery to Practice and Survivorship: Building a National Real-World Data Learning Healthcare Framework for Military and Veteran Cancer Patients.从发现到实践及生存:为军事人员和退伍军人癌症患者构建国家真实世界数据学习型医疗框架。
Clin Pharmacol Ther. 2019 Jul;106(1):52-57. doi: 10.1002/cpt.1425. Epub 2019 Apr 29.
6
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis.深度电子健康记录(EHR):深度学习技术在电子健康记录(EHR)分析中的最新进展综述。
IEEE J Biomed Health Inform. 2018 Sep;22(5):1589-1604. doi: 10.1109/JBHI.2017.2767063. Epub 2017 Oct 27.
7
A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine.癌症研究中的大数据综合基础设施:加速癌症研究与精准医学
Front Cell Dev Biol. 2017 Sep 21;5:83. doi: 10.3389/fcell.2017.00083. eCollection 2017.
8
A 21st-Century Health IT System - Creating a Real-World Information Economy.21世纪的健康信息技术系统——打造真实世界的信息经济。
N Engl J Med. 2017 May 18;376(20):1905-1907. doi: 10.1056/NEJMp1700235.
9
Cancer Moonshot Data and Technology Team: Enabling a National Learning Healthcare System for Cancer to Unleash the Power of Data.癌症“登月计划”数据与技术团队:助力构建国家癌症学习型医疗体系以释放数据力量。
Clin Pharmacol Ther. 2017 May;101(5):613-615. doi: 10.1002/cpt.636.
10
The National Library of Medicine: Accelerating Discovery, Delivering Information, Improving Health.美国国立医学图书馆:加速发现,传递信息,改善健康。
Ann Intern Med. 2016 Dec 6;165(11):808-809. doi: 10.7326/M16-1737. Epub 2016 Aug 16.