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

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 demonstrat...

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Autores principales: 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, Goettsch, Wim, Hemingway, Harry, Ingvar, Martin, Jonas, Adrian, Kazmierski, Robert, Løgstrup, Susanne, Lumbers, R Thomas, Lüscher, Thomas F, McGreavy, Paul, Piña, Ileana L, Roessig, Lothar, Steinbeisser, Carl, Sundgren, Mats, Tyl, Benoît, van Thiel, Ghislaine, van Bochove, Kees, Vardas, Panos E, Villanueva, Tiago, Vrana, Marilena, Weber, Wim, Weidinger, Franz, Windecker, Stephan, Wood, Angela, Grobbee, Diederick E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403753/
https://www.ncbi.nlm.nih.gov/pubmed/36562446
http://dx.doi.org/10.1136/bmj-2021-069048
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author 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
Goettsch, Wim
Hemingway, Harry
Ingvar, Martin
Jonas, Adrian
Kazmierski, Robert
Løgstrup, Susanne
Lumbers, R Thomas
Lüscher, Thomas F
McGreavy, Paul
Piña, Ileana L
Roessig, Lothar
Steinbeisser, Carl
Sundgren, Mats
Tyl, Benoît
van Thiel, Ghislaine
van Bochove, Kees
Vardas, Panos E
Villanueva, Tiago
Vrana, Marilena
Weber, Wim
Weidinger, Franz
Windecker, Stephan
Wood, Angela
Grobbee, Diederick E
author_facet 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
Goettsch, Wim
Hemingway, Harry
Ingvar, Martin
Jonas, Adrian
Kazmierski, Robert
Løgstrup, Susanne
Lumbers, R Thomas
Lüscher, Thomas F
McGreavy, Paul
Piña, Ileana L
Roessig, Lothar
Steinbeisser, Carl
Sundgren, Mats
Tyl, Benoît
van Thiel, Ghislaine
van Bochove, Kees
Vardas, Panos E
Villanueva, Tiago
Vrana, Marilena
Weber, Wim
Weidinger, Franz
Windecker, Stephan
Wood, Angela
Grobbee, Diederick E
author_sort Kotecha, Dipak
collection PubMed
description 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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spelling pubmed-94037532022-09-06 CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research 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 Goettsch, Wim Hemingway, Harry Ingvar, Martin Jonas, Adrian Kazmierski, Robert Løgstrup, Susanne Lumbers, R Thomas Lüscher, Thomas F McGreavy, Paul Piña, Ileana L Roessig, Lothar Steinbeisser, Carl Sundgren, Mats Tyl, Benoît van Thiel, Ghislaine van Bochove, Kees Vardas, Panos E Villanueva, Tiago Vrana, Marilena Weber, Wim Weidinger, Franz Windecker, Stephan Wood, Angela Grobbee, Diederick E BMJ Research Methods & Reporting 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. BMJ Publishing Group Ltd. 2022-08-29 /pmc/articles/PMC9403753/ /pubmed/36562446 http://dx.doi.org/10.1136/bmj-2021-069048 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Methods & Reporting
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
Goettsch, Wim
Hemingway, Harry
Ingvar, Martin
Jonas, Adrian
Kazmierski, Robert
Løgstrup, Susanne
Lumbers, R Thomas
Lüscher, Thomas F
McGreavy, Paul
Piña, Ileana L
Roessig, Lothar
Steinbeisser, Carl
Sundgren, Mats
Tyl, Benoît
van Thiel, Ghislaine
van Bochove, Kees
Vardas, Panos E
Villanueva, Tiago
Vrana, Marilena
Weber, Wim
Weidinger, Franz
Windecker, Stephan
Wood, Angela
Grobbee, Diederick E
CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title_full CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title_fullStr CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title_full_unstemmed CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title_short CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
title_sort code-ehr best practice framework for the use of structured electronic healthcare records in clinical research
topic Research Methods & Reporting
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403753/
https://www.ncbi.nlm.nih.gov/pubmed/36562446
http://dx.doi.org/10.1136/bmj-2021-069048
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