• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Research Data
  • Organizations
  • Researchers
  • More
  • Statistics
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.
 

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

Options
  • Details
  • Files
BORIS DOI
10.48350/172658
Publisher DOI
10.1016/S2589-7500(22)00151-0
PubMed ID
36050271
Description
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 care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.
Date of Publication
2022-10
Publication Type
Article
Subject(s)
600 - Technology::610 - Medicine & health
Language(s)
en
Contributor(s)
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
Thiel, Ghislaine van
Bochove, Kees van
Vardas, Panos E
Villanueva, Tiago
Vrana, Marilena
Weber, Wim
Weidinger, Franz
Windecker, Stephan
Universitätsklinik für Kardiologie
Wood, Angela
Grobbee, Diederick E
Additional Credits
Universitätsklinik für Kardiologie
Series
The Lancet. Digital health
Publisher
Elsevier
ISSN
2589-7500
Access(Rights)
open.access
Show full item
BORIS Portal
Bern Open Repository and Information System
Build: ae9592 [15.12. 16:43]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
  • Audiovisual Material
  • Software & other digital items
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo