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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; 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.
  • Kotecha D; Institute of Cardiovascular Sciences, University of Birmingham, Medical School, Birmingham, UK.
  • Asselbergs FW; University Hospitals Birmingham NHS Foundation Trust and Health Data Research UK Midlands, Birmingham, UK.
  • Achenbach S; Department of Cardiology, Division of Heart and Lungs, University Medical Centre Utrecht, University of Utrecht, Utrecht, Netherlands.
  • Anker SD; Department of Cardiology, Division of Heart and Lungs, University Medical Centre Utrecht, University of Utrecht, Utrecht, Netherlands.
  • Atar D; Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
  • Baigent C; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Banerjee A; Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
  • Beger B; Department of Cardiology and Berlin Institute of Health Centre for Regenerative Therapies, German Centre for Cardiovascular Research (DZHK) partner site Berlin; Charité Universitätsmedizin Berlin, Germany.
  • Brobert G; Department of Cardiology, Oslo University Hospital, Ulleval, Oslo, Norway.
  • Casadei B; University of Oslo, Institute of Clinical Medicine, Oslo, Norway.
  • Ceccarelli C; MRC Population Health Research Unit, Nuffield Department of Population Health, Oxford, UK.
  • Cowie MR; Clinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, UK.
  • Crea F; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Cronin M; University College London Hospitals NHS Trust, London, UK.
  • Denaxas S; European Heart Network, Brussels, Belgium.
  • Derix A; Bayer AB, Stockholm, Sweden.
  • Fitzsimons D; Division of Cardiovascular Medicine, John Radcliffe Hospital, University of Oxford NIHR Oxford Biomedical Research Centre, Oxford, UK.
  • Fredriksson M; European Society of Cardiology, Sophia Antipolis, France.
  • Gale CP; Royal Brompton Hospital, Division of Guy's St Thomas' NHS Foundation Trust, London, UK.
  • Gkoutos GV; School of Cardiovascular Medicine Sciences, King's College London, London, UK.
  • Goettsch W; Department of Cardiovascular and Pulmonary Sciences, Catholic University of the Sacred Heart, Rome, Italy.
  • Hemingway H; European Heart Journal, Oxford University Press, University of Oxford, Oxford, UK.
  • Ingvar M; Vifor Pharma, Glattbrugg, Switzerland and Ava AG, Zurich, Switzerland.
  • Jonas A; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Kazmierski R; Alan Turing Institute, London, UK.
  • Løgstrup S; British Heart Foundation Data Science Centre, London, UK.
  • Thomas Lumbers R; Bayer AG, Leverkusen, Germany.
  • Lüscher TF; School of Nursing and Midwifery, Queen's University Belfast, Northern Ireland.
  • McGreavy P; Late Clinical Development, Cardiovascular, Renal and Metabolism (CVRM), Biopharmaceuticals RD, AstraZeneca, Gothenburg, Sweden.
  • Piña IL; Leeds Institute of Cardiovascular and Metabolic Medicine and Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
  • Roessig L; Leeds Institute for Data Analytics, University of Leeds, Leeds, UK.
  • Steinbeisser C; Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Sundgren M; University Hospitals Birmingham NHS Foundation Trust and Health Data Research UK Midlands, Birmingham, UK.
  • Tyl B; College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK.
  • van Thiel G; National Health Care Institute (ZIN), Diemen, Netherlands.
  • van Bochove K; Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.
  • Vardas PE; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Villanueva T; Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden.
  • Vrana M; Department of Neuroradiology, Karolinska University Hospital Stockholm, Stockholm, Sweden.
  • Weber W; Data and Analytics Group, National Institute for Health and Care Excellence, London, UK.
  • Weidinger F; Office of Cardiovascular Devices, US Food and Drug Administration, Silver Spring, MD, USA.
  • Windecker S; European Heart Network, Brussels, Belgium.
  • Wood A; Health Data Research UK and Institute of Health Informatics, University College London, London, UK.
  • Grobbee DE; Barts Health NHS Trust and University College London Hospitals NHS Trust.
Eur Heart J ; 43(37): 3578-3588, 2022 10 07.
Article in English | MEDLINE | ID: covidwho-2017894
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Electronic Health Records / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Heart J Year: 2022 Document Type: Article Affiliation country: Eurheartj

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Electronic Health Records / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Eur Heart J Year: 2022 Document Type: Article Affiliation country: Eurheartj