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

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

doi:10.1016/s2589-7500(22)00151-0

Public

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

Published in The Lancet Digital Health • Aug 29, 2022

Authors:

Dipak Kotecha

Folkert W. Asselbergs

Stephan Achenbach

Abstract

Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient c...

Subject

Big data

Mandate

Transparency (behavior)

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