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

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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
    Thomas Lumbers, R
    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
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    Publication date
    2022-10-07
    Subject
    Cardiology
    Public health. Health statistics. Occupational health. Health education
    
    Metadata
    Show full item record
    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.
    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, Thomas Lumbers R, 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. Eur Heart J. 2022 Oct 7;43(37):3578-3588. doi: 10.1093/eurheartj/ehac426.
    Type
    Article
    Handle
    http://hdl.handle.net/20.500.14200/3723
    Additional Links
    https://academic.oup.com/eurheartj?login=false
    DOI
    10.1093/eurheartj/ehac426
    PMID
    36208161
    Journal
    European Heart Journal
    Publisher
    Oxford University Press
    ae974a485f413a2113503eed53cd6c53
    10.1093/eurheartj/ehac426
    Scopus Count
    Collections
    Cardiology

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