CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
Author(s)
Type
Journal Article
Abstract
Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes.
Date Issued
2022-10-01
Date Acceptance
2022-06-21
Citation
European Heart Journal, 2022, 43 (37), pp.3578-3588
ISSN
0195-668X
Publisher
European Society of Cardiology
Start Page
3578
End Page
3588
Journal / Book Title
European Heart Journal
Volume
43
Issue
37
Copyright Statement
This article has been co-published with permission in The BMJ, the Lancet Digital Health, and the European Heart Journal © the Authors 2022.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. The articles are identical except for minor stylistic and spelling differences in keeping with each journal's style. When citing this article, a citation from any of the journals listed is appropriate.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. The articles are identical except for minor stylistic and spelling differences in keeping with each journal's style. When citing this article, a citation from any of the journals listed is appropriate.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000846933700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Cardiac & Cardiovascular Systems
Cardiovascular System & Cardiology
Publication Status
Published
Date Publish Online
2022-08-29