Clinical Data Sharing and Consent

Elucidates what clinical data can be shared without a patient or participant’s explicit consent for quality care improvement

In the course of clinical genetics testing, diagnostics, and/or research, there are often requests for individual-level patient data (e.g. variant details, phenotypic data, family history) to be shared between labs, clinics, or with expert curation efforts for care quality improvement, including informing variant classification, defining phenotype spectrum, and treatment efficacy. Sharing individual-level patient data is useful for variant classification, and may, thus, improve patient care. However, there is uncertainty over what types of data — and at what level of detail and for what purposes — can be shared without explicit consent from patients. To provide further clarification, the GA4GH Regulatory & Ethics Work Stream (REWS) aims to develop best practices in this area.

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Benefits

  • Aims to survey current state of practice and opinions on clinical data sharing with an international lens
  • Aims to develop guidance on the best practices for what level of detail can be shared without explicit consent from a patient for quality care improvement

Target users

Researchers, clinicians, clinical laboratories, data custodians, and data protection authorities

Community resources

Dive deeper into this product! There are often requests to share patient information between clinical labs or between experts for quality care improvement, including informing variant interpretation, defining phenotype spectrum and treatment efficacy. There is uncertainty over what types of data and what level of detail can be shared, and for what purpose, without explicit consent from patients. To provide further clarification, the GA4GH Regulatory & Ethics Work Stream (REWS) aims to develop best practices in this area.


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Duration

Working meeting to discuss what clinical data can be shared without explicit consent from participants and patients to inform variant interpretation

ad hoc
ad hoc
UTC
1 Hour

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  • Michael Baudis
    University of Zurich
  • Daniela Bodemer
    Melbourne Genomics Health Alliance
  • Esmeralda Casas-Silva
    NIH National Cancer Institute (NCI)
  • Shu Hui Chen
    NIH National Heart, Lung, and Blood Institute (NHLBI)
  • Thijs Devriendt
    KU Leuven
  • Megan Doerr
    Sage Bionetworks
  • Aida Beatriz Falcon de Vargas
    Hospital Vargas de Caracas
  • Clara Gaff
    Melbourne Genomics Health Alliance
  • Ian Green
    SNOMED International
  • Tudor Groza
    EMBL's European Bioinformatics Institute (EBI)
  • Vivek Gupta
    Macquarie University
  • Melissa Haendel
    University of Colorado Anschutz Medical Campus
  • Arthur Hermann
    Kaiser Permanente
  • Michael Hoffman
    Princess Margaret Cancer Centre
  • Saumya Jamuar
    KK Women's and Children's Hospital
  • Yann Joly
    Centre of Genomics and Policy
  • Beatrice Kaiser
    McGill University / Université McGill, Centre of Genomics and Policy
  • Zane Lombard
    University of the Witwatersrand, National Health Laboratory Service
  • Joanne Ngeow
    National Cancer Centre Singapore
  • Christine Patch
    Wellcome Connecting Science, Wellcome Genome Campus
  • Maili Raven-Adams
    The Nuffield Council on Bioethics
  • Renee Rider
    NIH National Human Genome Research Institute (NHGRI)
  • Pedro Rondot Radío
    Angel H. Roffo Institute of Oncology
  • Rosalyn Ryan
    Healthfox US Inc
  • Adrian Thorogood
    Terry Fox Research Institute
  • Emma Tudini
    Australian Genomics
  • Vanessa Vogel-Farley
    RARE-X
  • Eva Winkler
    German Cancer Research Center (DKFZ) / National Center for Tumor Diseases (NCT)
  • Yasuhide Yamada
    National Center for Global Health and Medicine