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

Dipak Kotecha; Folkert W. Asselbergs; Stephan Achenbach; Stefan D. Anker; Dan Atar; Colin Baigent; Amitava Banerjee; Birgit Beger; Gunnar Brobert; Barbara Casadei; Cinzia Ceccarelli; Martin R. Cowie; Filippo Crea; Maureen Cronin; Spiros Denaxas; Andrea Derix; Donna Fitzsimons; Martin Fredriksson; Chris P. Gale; Georgios V. Gkoutos; Wim Goettsch; Harry Hemingway; Martin Ingvar; Adrian Jonas; Robert Kazmierski; Susanne Løgstrup; R. Thomas Lumbers; Thomas F. Lüscher; Paul McGreavy; Ileana L. Piña; Lothar Roessig; Carl Steinbeisser; Mats Sundgren; Benoît Tyl; Ghislaine Van Thiel; Kees Van Bochove; Panos E. Vardas; Tiago Villanueva; Marilena Vrana; Wim Weber; Franz Weidinger; Stephan Windecker; Angela Wood; Diederick E. Grobbee

doi:10.1136/bmj-2021-069048

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

Dipak Kotecha^*, Folkert W. Asselbergs, Stephan Achenbach, Stefan D. Anker, Dan Atar, Colin Baigent, Amitava Banerjee, Birgit Beger, Gunnar Brobert, Barbara Casadei, Cinzia Ceccarelli, Martin R. Cowie, Filippo Crea, Maureen Cronin, Spiros Denaxas, Andrea Derix, Donna Fitzsimons, Martin Fredriksson, Chris P. Gale, Georgios V. GkoutosWim Goettsch, Harry Hemingway, Martin Ingvar, Adrian Jonas, Robert Kazmierski, Susanne Løgstrup, R. Thomas Lumbers, Thomas F. Lüscher, Paul McGreavy, Ileana L. Piña, Lothar Roessig, Carl Steinbeisser, Mats Sundgren, Benoît Tyl, Ghislaine Van Thiel, Kees Van Bochove, Panos E. Vardas, Tiago Villanueva, Marilena Vrana, Wim Weber, Franz Weidinger, Stephan Windecker, Angela Wood, Diederick E. Grobbee

^*Corresponding author for this work

School of Nursing and Midwifery

Research output: Contribution to journal › Article › peer-review

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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.

Original language	English
Article number	069048
Number of pages	9
Journal	The BMJ
Volume	378
DOIs	https://doi.org/10.1136/bmj-2021-069048
Publication status	Published - 29 Aug 2022

ASJC Scopus subject areas

General Medicine

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10.1136/bmj-2021-069048

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
Copyright 2022 The Authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
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Kotecha, D., Asselbergs, F. W., Achenbach, S., Anker, S. D., Atar, D., Baigent, C., Banerjee, A., Beger, B., Brobert, G., Casadei, B., Ceccarelli, C., Cowie, M. R., Crea, F., Cronin, M., Denaxas, S., Derix, A., Fitzsimons, D., Fredriksson, M., Gale, C. P., ... Grobbee, D. E. (2022). CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. The BMJ, 378, Article 069048. https://doi.org/10.1136/bmj-2021-069048

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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.",

author = "Dipak Kotecha and Asselbergs, {Folkert W.} and Stephan Achenbach and Anker, {Stefan D.} and Dan Atar and Colin Baigent and Amitava Banerjee and Birgit Beger and Gunnar Brobert and Barbara Casadei and Cinzia Ceccarelli and Cowie, {Martin R.} and Filippo Crea and Maureen Cronin and Spiros Denaxas and Andrea Derix and Donna Fitzsimons and Martin Fredriksson and Gale, {Chris P.} and Gkoutos, {Georgios V.} and Wim Goettsch and Harry Hemingway and Martin Ingvar and Adrian Jonas and Robert Kazmierski and Susanne L{\o}gstrup and Lumbers, {R. Thomas} and L{\"u}scher, {Thomas F.} and Paul McGreavy and Pi{\~n}a, {Ileana L.} and Lothar Roessig and Carl Steinbeisser and Mats Sundgren and Beno{\^i}t Tyl and {Van Thiel}, Ghislaine and {Van Bochove}, Kees and Vardas, {Panos E.} and Tiago Villanueva and Marilena Vrana and Wim Weber and Franz Weidinger and Stephan Windecker and Angela Wood and Grobbee, {Diederick E.}",

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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, Van Thiel, G, Van Bochove, K, Vardas, PE, Villanueva, T, Vrana, M, Weber, W, Weidinger, F, Windecker, S, Wood, A & Grobbee, DE 2022, 'CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research', The BMJ, vol. 378, 069048. https://doi.org/10.1136/bmj-2021-069048

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AU - Kotecha, Dipak

AU - Asselbergs, Folkert W.

AU - Achenbach, Stephan

AU - Anker, Stefan D.

AU - Atar, Dan

AU - Baigent, Colin

AU - Banerjee, Amitava

AU - Beger, Birgit

AU - Brobert, Gunnar

AU - Casadei, Barbara

AU - Ceccarelli, Cinzia

AU - Cowie, Martin R.

AU - Crea, Filippo

AU - Cronin, Maureen

AU - Denaxas, Spiros

AU - Derix, Andrea

AU - Fitzsimons, Donna

AU - Fredriksson, Martin

AU - Gale, Chris P.

AU - Gkoutos, Georgios V.

AU - Goettsch, Wim

AU - Hemingway, Harry

AU - Ingvar, Martin

AU - Jonas, Adrian

AU - Kazmierski, Robert

AU - Løgstrup, Susanne

AU - Lumbers, R. Thomas

AU - Lüscher, Thomas F.

AU - McGreavy, Paul

AU - Piña, Ileana L.

AU - Roessig, Lothar

AU - Steinbeisser, Carl

AU - Sundgren, Mats

AU - Tyl, Benoît

AU - Van Thiel, Ghislaine

AU - Van Bochove, Kees

AU - Vardas, Panos E.

AU - Villanueva, Tiago

AU - Vrana, Marilena

AU - Weber, Wim

AU - Weidinger, Franz

AU - Windecker, Stephan

AU - Wood, Angela

AU - Grobbee, Diederick E.

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AB - 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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DO - 10.1136/bmj-2021-069048

M3 - Article

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SN - 0959-8146

VL - 378

JO - The BMJ

JF - The BMJ

M1 - 069048

ER -

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

Abstract

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