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Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.

Authors :
Kashani, Kianoush B.
Awdishu, Linda
Bagshaw, Sean M.
Barreto, Erin F.
Claure-Del Granado, Rolando
Evans, Barbara J.
Forni, Lui G.
Ghosh, Erina
Goldstein, Stuart L.
Kane-Gill, Sandra L.
Koola, Jejo
Koyner, Jay L.
Liu, Mei
Murugan, Raghavan
Nadkarni, Girish N.
Neyra, Javier A.
Ninan, Jacob
Ostermann, Marlies
Pannu, Neesh
Rashidi, Parisa
Source :
Nature Reviews Nephrology. Dec2023, Vol. 19 Issue 12, p807-818. 12p.
Publication Year :
2023

Abstract

Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the health of individuals in community, acute care and post-acute care settings. Although the recognition, prevention and management of AKI has advanced over the past decades, its incidence and related morbidity, mortality and health care burden remain overwhelming. The rapid growth of digital technologies has provided a new platform to improve patient care, and reports show demonstrable benefits in care processes and, in some instances, in patient outcomes. However, despite great progress, the potential benefits of using digital technology to manage AKI has not yet been fully explored or implemented in clinical practice. Digital health studies in AKI have shown variable evidence of benefits, and the digital divide means that access to digital technologies is not equitable. Upstream research and development costs, limited stakeholder participation and acceptance, and poor scalability of digital health solutions have hindered their widespread implementation and use. Here, we provide recommendations from the Acute Disease Quality Initiative consensus meeting, which involved experts in adult and paediatric nephrology, critical care, pharmacy and data science, at which the use of digital health for risk prediction, prevention, identification and management of AKI and its consequences was discussed. In this Consensus Statement, the authors discuss a framework for the development, validation and implementation of digital health technologies across the acute kidney injury continuum — risk prediction, prevention, detection and management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17595061
Volume :
19
Issue :
12
Database :
Academic Search Index
Journal :
Nature Reviews Nephrology
Publication Type :
Academic Journal
Accession number :
173624739
Full Text :
https://doi.org/10.1038/s41581-023-00744-7