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Workgroup statements from 15th ADQI consensus conference 2015

Published in Canadian Journal of Kidney Health and Disease

This collection showcases the workgroup statements from the 15th Acute Dialysis Quality Initiative (ADQI) Consensus Conference held in Banff, Canada in September, 2015.

ADQI conference brought together world experts across nephrology, critical care, epidemiology, informatics, and biostatistics to focus on the rapid emergence of Big Data in healthcare. ADQI has sought to provide evidence-based consensus, identify care gaps and facilitate future research across diverse issues such as the standardization of definitions for acute kidney injury, use of common nomenclature for renal replacement therapy, along with common procedures and treatments in critical care nephrology. The 15th ADQI conference centered on how Big Data applications, such as predictive analytics, automatic electronic alerting, integrated clinical decision support, and administrative data and can be leveraged to improve the quality of care and long-term outcomes for patients with AKI and those receiving renal replacement therapy.

  1. Acute kidney injury (AKI) is independently associated with the development of chronic kidney disease, endstage kidney disease and increased all-cause and cardiovascular-specific mortality. The severity of the ...

    Authors: Ravindra Mehta, Azra Bihorac, Nicholas M. Selby, Hude Quan, Stuart L. Goldstein, John A. Kellum, Claudio Ronco and Sean M. Bagshaw
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:13
    Content type: Review Published on:

  2. The purpose of this review is to report how administrative data have been used to study AKI, identify current limitations, and suggest how these data sources might be enhanced to address knowledge gaps in the ...

    Authors: Edward D. Siew, Rajit K. Basu, Hannah Wunsch, Andrew D. Shaw, Stuart L Goldstein, Claudio Ronco, John A. Kellum and Sean M. Bagshaw
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:12
    Content type: Review Published on:

  3. The data contained within the electronic health record (EHR) is “big” from the standpoint of volume, velocity, and variety. These circumstances and the pervasive trend towards EHR adoption have sparked interes...

    Authors: Scott M. Sutherland, Lakhmir S. Chawla, Sandra L. Kane-Gill, Raymond K. Hsu, Andrew A. Kramer, Stuart L. Goldstein, John A. Kellum, Claudio Ronco and Sean M. Bagshaw
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:11
    Content type: Review Published on:

  4. Among hospitalized patients, acute kidney injury is common and associated with significant morbidity and risk for mortality. The use of electronic health records (EHR) for prediction and detection of this impo...

    Authors: Eric A. J. Hoste, Kianoush Kashani, Noel Gibney, F. Perry Wilson, Claudio Ronco, Stuart L. Goldstein, John A. Kellum and Sean M. Bagshaw
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:10
    Content type: Review Published on:

  5. Electronic medical records and clinical information systems are increasingly used in hospitals and can be leveraged to improve recognition and care for acute kidney injury. This Acute Dialysis Quality Initiati...

    Authors: Matthew T. James, Charles E. Hobson, Michael Darmon, Sumit Mohan, Darren Hudson, Stuart L. Goldstein, Claudio Ronco, John A. Kellum and Sean M. Bagshaw
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:9
    Content type: Review Published on:

  6. The world is immersed in “big data”. Big data has brought about radical innovations in the methods used to capture, transfer, store and analyze the vast quantities of data generated every minute of every day. At ...

    Authors: Sean M. Bagshaw, Stuart L. Goldstein, Claudio Ronco and John A. Kellum
    Citation: Canadian Journal of Kidney Health and Disease 2016 3:5
    Content type: Editorial Published on: