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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group Ltd.
2022
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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. |
format | Online Article Text |
id | pubmed-9403753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group Ltd. |
record_format | MEDLINE/PubMed |
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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