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CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Asselbergs, Folkert W 
Achenbach, Stephan 
Anker, Stefan D 
Atar, Dan 

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.

Description

Keywords

Networking and Information Technology R&D, Generic health relevance

Journal Title

Eur Heart J

Conference Name

Journal ISSN

0959-8146
1522-9645

Volume Title

378

Publisher

BMJ
Sponsorship
European Commission and European Federation of Pharmaceutical Industries and Associations (EFPIA) FP7 Innovative Medicines Initiative (IMI) (116074)
MRC (via University College London (UCL)) (MC_PC_20059)
National Institute for Health Research (NIHR) (via University College London (UCL)) (WT5344392)
Stroke Association (via University of Edinburgh) (R46832)