Kotecha, Dipak; Asselbergs, Folkert W; Achenbach, Stephan; Anker, Stefan D; Atar, Dan; Baigent, Colin; Banerjee, Amitava; Beger, Birgit; Brobert, Gunnar; Casadei, Barbara; Ceccarelli, Cinzia; Cowie, Martin R; Crea, Filippo; Cronin, Maureen; Denaxas, Spiros; Derix, Andrea; Fitzsimons, Donna; Fredriksson, Martin; Gale, Chris P; Gkoutos, Georgios V; ... (2022). CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research. The Lancet. Digital health, 4(10), e757-e764. Elsevier 10.1016/S2589-7500(22)00151-0
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Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Cardiovascular Disorders (DHGE) > Clinic of Cardiology |
UniBE Contributor: |
Windecker, Stephan |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2589-7500 |
Publisher: |
Elsevier |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
05 Sep 2022 14:17 |
Last Modified: |
05 Dec 2022 16:23 |
Publisher DOI: |
10.1016/S2589-7500(22)00151-0 |
PubMed ID: |
36050271 |
BORIS DOI: |
10.48350/172658 |
URI: |
https://boris.unibe.ch/id/eprint/172658 |
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