TY - JOUR
T1 - Digital health and acute kidney injury
T2 - consensus report of the 27th Acute Disease Quality Initiative workgroup
AU - Kashani, Kianoush B.
AU - Awdishu, Linda
AU - Bagshaw, Sean M.
AU - Barreto, Erin F.
AU - Claure-Del Granado, Rolando
AU - Evans, Barbara J.
AU - Forni, Lui G.
AU - Ghosh, Erina
AU - Goldstein, Stuart L.
AU - Kane-Gill, Sandra L.
AU - Koola, Jejo
AU - Koyner, Jay L.
AU - Liu, Mei
AU - Murugan, Raghavan
AU - Nadkarni, Girish N.
AU - Neyra, Javier A.
AU - Ninan, Jacob
AU - Ostermann, Marlies
AU - Pannu, Neesh
AU - Rashidi, Parisa
AU - Ronco, Claudio
AU - Rosner, Mitchell H.
AU - Selby, Nicholas M.
AU - Shickel, Benjamin
AU - Singh, Karandeep
AU - Soranno, Danielle E.
AU - Sutherland, Scott M.
AU - Bihorac, Azra
AU - Mehta, Ravindra L.
N1 - Publisher Copyright:
© 2023, Springer Nature Limited.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85168107082&partnerID=8YFLogxK
U2 - 10.1038/s41581-023-00744-7
DO - 10.1038/s41581-023-00744-7
M3 - Article
C2 - 37580570
AN - SCOPUS:85168107082
SN - 1759-5061
VL - 19
SP - 807
EP - 818
JO - Nature Reviews Nephrology
JF - Nature Reviews Nephrology
IS - 12
ER -