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

Autor: Kashani KB; Division of Nephrology and Hypertension, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA. Kashani.Kianoush@mayo.edu., Awdishu L; Clinical Pharmacy, San Diego Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, USA., Bagshaw SM; Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada., Barreto EF; Department of Pharmacy, Mayo Clinic, Rochester, MN, USA., Claure-Del Granado R; Division of Nephrology, Hospital Obrero No 2 - CNS, Cochabamba, Bolivia.; Universidad Mayor de San Simon, School of Medicine, Cochabamba, Bolivia., Evans BJ; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA., Forni LG; Department of Critical Care, Royal Surrey Hospital NHS Foundation Trust & Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK., Ghosh E; Philips Research North America, Cambridge, MA, USA., Goldstein SL; Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA., Kane-Gill SL; Biomedical Informatics and Clinical Translational Sciences, University of Pittsburgh, Pittsburgh, PA, USA., Koola J; UC San Diego Health Department of Biomedical Informatics, Department of Medicine, La Jolla, CA, USA., Koyner JL; Section of Nephrology, Department of Medicine, University of Chicago, Chicago, IL, USA., Liu M; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA., Murugan R; The Program for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.; The Clinical Research, Investigation, and Systems Modelling of Acute Illness Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA., Nadkarni GN; Division of Data-Driven and Digital Medicine (D3M), Department of Medicine, Icahn School of Medicine at Mount Sinai; Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Neyra JA; Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA., Ninan J; Division of Pulmonary, Critical Care and Sleep Medicine, Mayo Clinic, Rochester, MN, USA., Ostermann M; Department of Critical Care, King's College London, Guy's & St Thomas' Hospital, London, UK., Pannu N; Division of Nephrology, University of Alberta, Edmonton, Canada., Rashidi P; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA., Ronco C; Università di Padova; Scientific Director Foundation IRRIV; International Renal Research Institute; San Bortolo Hospital, Vicenza, Italy., Rosner MH; Department of Medicine, University of Virginia Health, Charlottesville, VA, USA., Selby NM; Centre for Kidney Research and Innovation, Academic Unit of Translational Medical Sciences, University of Nottingham, Nottingham, UK.; Department of Renal Medicine, Royal Derby Hospital, Derby, UK., Shickel B; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA., Singh K; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA., Soranno DE; Section of Nephrology, Department of Pediatrics, Indiana University, Riley Hospital for Children, Indianapolis, IN, USA., Sutherland SM; Division of Nephrology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA., Bihorac A; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA. abihorac@ufl.edu., Mehta RL; Division of Nephrology-Hypertension, Department of Medicine, University of California San Diego, La Jolla, CA, USA. rmehta@health.ucsd.edu.
Jazyk: angličtina
Zdroj: Nature reviews. Nephrology [Nat Rev Nephrol] 2023 Dec; Vol. 19 (12), pp. 807-818. Date of Electronic Publication: 2023 Aug 14.
DOI: 10.1038/s41581-023-00744-7
Abstrakt: 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.
(© 2023. Springer Nature Limited.)
Databáze: MEDLINE
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