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. 2022 Oct 7;43(37):3578-3588.
doi: 10.1093/eurheartj/ehac426.

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

Collaborators, Affiliations

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

Dipak Kotecha et al. Eur Heart J. .

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.

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Figures

Figure 1
Figure 1
From structured healthcare data to improved patient care. Key challenges and the paths to improvement leading to sustainable impact from EHR-based research studies. EHR=electronic healthcare record.
Figure 2
Figure 2
Patient and public engagement to improve clinical research. POSITIVE steps leading to co-creation with patients and the public, and better research using big data sources. Content adapted from the Consensus Statement on Public Involvement and Engagement with Data-Intensive Health Research as used in the DaRe2THINK trial programme. Adapted from Bunting et al. PPI=patient and public involvement.

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