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Acute kidney injury in the era of big data: The 15 <sup>th</sup> Consensus Conference of the Acute Dialysis Quality Initiative (ADQI)

Bagshaw, SM and Goldstein, SL and Ronco, C and Kellum, JA (2016) Acute kidney injury in the era of big data: The 15 <sup>th</sup> Consensus Conference of the Acute Dialysis Quality Initiative (ADQI). Canadian Journal of Kidney Health and Disease, 3 (1).

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Abstract

© 2016 Bagshaw et al. 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 the same time; however, it has also become far easier and relatively inexpensive to do so. Rapidly transforming, integrating and applying this large volume and variety of data are what underlie the future of big data. The application of big data and predictive analytics in healthcare holds great promise to drive innovation, reduce cost and improve patient outcomes, health services operations and value. Acute kidney injury (AKI) may be an ideal syndrome from which various dimensions and applications built within the context of big data may influence the structure of services delivery, care processes and outcomes for patients. The use of innovative forms of "information technology" was originally identified by the Acute Dialysis Quality Initiative (ADQI) in 2002 as a core concept in need of attention to improve the care and outcomes for patients with AKI. For this 15 th ADQI consensus meeting held on September 6-8, 2015 in Banff, Canada, five topics focused on AKI and acute renal replacement therapy were developed where extensive applications for use of big data were recognized and/or foreseen. In this series of articles in the Canadian Journal of Kidney Health and Disease, we describe the output from these discussions.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Bagshaw, SM
Goldstein, SL
Ronco, C
Kellum, JAkellum@pitt.eduKELLUM0000-0003-1995-2653
Date: 26 February 2016
Date Type: Publication
Journal or Publication Title: Canadian Journal of Kidney Health and Disease
Volume: 3
Number: 1
DOI or Unique Handle: 10.1186/s40697-016-0103-z
Schools and Programs: School of Medicine > Critical Care Medicine
Refereed: Yes
Date Deposited: 22 Aug 2016 18:56
Last Modified: 13 Apr 2019 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/28725

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