Recommendations for achieving interoperable and shareable medical data in the USA

Author:

Szarfman AnaORCID,Levine Jonathan G.ORCID,Tonning Joseph M.ORCID,Weichold FrankORCID,Bloom John C.ORCID,Soreth Janice M.,Geanacopoulos Mark,Callahan LawrenceORCID,Spotnitz MatthewORCID,Ryan Qin,Pease-Fye MegORCID,Brownstein John S.ORCID,Ed Hammond W.ORCID,Reich ChristianORCID,Altman Russ B.ORCID

Abstract

AbstractEasy access to large quantities of accurate health data is required to understand medical and scientific information in real-time; evaluate public health measures before, during, and after times of crisis; and prevent medical errors. Introducing a system in the USA that allows for efficient access to such health data and ensures auditability of data facts, while avoiding data silos, will require fundamental changes in current practices. Here, we recommend the implementation of standardized data collection and transmission systems, universal identifiers for individual patients and end users, a reference standard infrastructure to support calibration and integration of laboratory results from equivalent tests, and modernized working practices. Requiring comprehensive and binding standards, rather than incentivizing voluntary and often piecemeal efforts for data exchange, will allow us to achieve the analytical information environment that patients need.

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. WHO. Worldometer Coronavirus. https://www.worldometers.info/coronavirus/#countries (2022).

2. NCB News. Government Watchdog Says Key Federal Health Agency is Failing on Crises. https://www.nbcnews.com/politics/politics-news/government-watchdog-says-key-federal-health-agency-failing-crises-n1288154 (2022).

3. ISA. The Office of the National Coordinator for Health Information Technology. 2022 Interoperability Standards Advisory. https://www.healthit.gov/isa/sites/isa/files/inline-files/2022-ISA-Reference-Edition.pdf (2022).

4. Denny, J. C. & Collins, F. S. Precision medicine in 2030-seven ways to transform healthcare. Cell 184, 1415–1419 (2021).

5. U.S. FOOD & DRUG. COVID-19 Real World Data (RWD) Data Elements Harmonization Project. https://www.fda.gov/drugs/coronavirus-covid-19-drugs/covid-19-real-world-data-rwd-data-elements-harmonization-project/ (2022).

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3