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

Kotecha D, Asselbergs FW, Achenbach S, Anker SD, Atar D, Baigent C, Banerjee A, Beger B, Brobert G, Casadei B, Ceccarelli C, Cowie MR, Crea F, Cronin M, Denaxas S, Derix A, Fitzsimons D, Fredriksson M, Gale CP, Gkoutos GV, Goettsch W, Hemingway H, Ingvar M, Jonas A, Kazmierski R, Løgstrup S, Lumbers RT, Lüscher TF, McGreavy P, Piña IL, Roessig L, Steinbeisser C, Sundgren M, Tyl B, Thiel Gv, Bochove Kv, Vardas PE, Villanueva T, Vrana M, Weber W, Weidinger F, Windecker S, Wood A, Grobbee DE (2022)

Publication Type: Journal article, Review article

Publication year: 2022

Journal

Book Volume: 4

Pages Range: e757-e764

Journal Issue: 10

DOI: 10.1016/S2589-7500(22)00151-0

Abstract

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.

Authors with CRIS profile

Involved external institutions

University of Birmingham United Kingdom (GB) Health Data Research UK United Kingdom (GB) Berliner Institut für Gesundheitsforschung (BIH) Germany (DE) Oslo University Hospital / Oslo Universitetssykehus Rikshospitalet Norway (NO) University of Oxford United Kingdom (GB) European Heart Network (EHN) Belgium (BE) The BMJ / British Medical Journal United Kingdom (GB) Krankenanstalt Rudolfstiftung Austria (AT) Inselspital, Universitätsspital Bern Switzerland (CH) Royal Brompton Hospital United Kingdom (GB) Oxford University Press United Kingdom (GB) Vifor Pharma AG Switzerland (CH) Bayer AG Germany (DE) Queen's University United Kingdom (GB) AstraZeneca Sweden Sweden (SE) University of Leeds United Kingdom (GB) University Medical Centre Utrecht (UMC Utrecht) Netherlands (NL) Karolinska Institute Sweden (SE) The National Institute for Health and Care Excellence United Kingdom (GB) Food and Drug Administration (FDA / USFDA) United States (USA) (US) University of Zurich / Universität Zürich (UZH) Switzerland (CH) European Society of Cardiology Belgium (BE) Bayer AB Sweden (SE) Universiteit Utrecht (UU) / Utrecht University Netherlands (NL) The Hyve Netherlands (NL) Hygeia Hospital Greece (GR)

How to cite

APA:

Kotecha, D., Asselbergs, F.W., Achenbach, S., Anker, S.D., Atar, D., Baigent, C.,... Grobbee, D.E. (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. https://doi.org/10.1016/S2589-7500(22)00151-0

MLA:

Kotecha, Dipak, et al. "CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research." The Lancet Digital Health 4.10 (2022): e757-e764.

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