CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
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
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
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
Citations
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Date
2022-08-29
Type
Article
Subject
Cardiology, Public health. Health statistics. Occupational health. Health education
Collections
Citation
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; Innovative Medicines Initiative BigData@Heart Consortium, European Society of Cardiology, CODE-EHR international consensus group. CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. BMJ. 2022 Aug 29;378:e069048. doi: 10.1136/bmj-2021-069048.
Journal / Source Title
BMJ
DOI
10.1136/bmj-2021-069048
PMID
36562446
Publisher
BMJ Publishing Group
Publisher’s URL
http://www.bmj.com/thebmj