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Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.
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; Ronco, Claudio; Rosner, Mitchell H; Selby, Nicholas M; Shickel, Benjamin; Singh, Karandeep; Soranno, Danielle E; Sutherland, Scott M; Bihorac, Azra; Mehta, Ravindra L.
Affiliation
  • 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.
  • Evans BJ; Universidad Mayor de San Simon, School of Medicine, Cochabamba, Bolivia.
  • Forni LG; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA.
  • Ghosh E; Department of Critical Care, Royal Surrey Hospital NHS Foundation Trust & Department of Clinical & Experimental Medicine, University of Surrey, Guildford, UK.
  • Goldstein SL; Philips Research North America, Cambridge, MA, USA.
  • Kane-Gill SL; Center for Acute Care Nephrology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
  • Koola J; Biomedical Informatics and Clinical Translational Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
  • Koyner JL; UC San Diego Health Department of Biomedical Informatics, Department of Medicine, La Jolla, CA, USA.
  • Liu M; Section of Nephrology, Department of Medicine, University of Chicago, Chicago, IL, USA.
  • Murugan R; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
  • Nadkarni GN; The Program for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Neyra JA; 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.
  • Ninan J; 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.
  • Ostermann M; Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Pannu N; Division of Pulmonary, Critical Care and Sleep Medicine, Mayo Clinic, Rochester, MN, USA.
  • Rashidi P; Department of Critical Care, King's College London, Guy's & St Thomas' Hospital, London, UK.
  • Ronco C; Division of Nephrology, University of Alberta, Edmonton, Canada.
  • Rosner MH; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA.
  • Selby NM; Università di Padova; Scientific Director Foundation IRRIV; International Renal Research Institute; San Bortolo Hospital, Vicenza, Italy.
  • Shickel B; Department of Medicine, University of Virginia Health, Charlottesville, VA, USA.
  • Singh K; Centre for Kidney Research and Innovation, Academic Unit of Translational Medical Sciences, University of Nottingham, Nottingham, UK.
  • Soranno DE; Department of Renal Medicine, Royal Derby Hospital, Derby, UK.
  • Sutherland SM; Intelligent Critical Care Center, University of Florida, Gainesville, FL, USA.
  • Bihorac A; Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Mehta RL; Section of Nephrology, Department of Pediatrics, Indiana University, Riley Hospital for Children, Indianapolis, IN, USA.
Nat Rev Nephrol ; 19(12): 807-818, 2023 Dec.
Article in En | MEDLINE | ID: mdl-37580570
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Kidney Injury / Nephrology Type of study: Guideline / Prognostic_studies Limits: Adult / Child / Humans Language: En Journal: Nat Rev Nephrol Journal subject: NEFROLOGIA Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Acute Kidney Injury / Nephrology Type of study: Guideline / Prognostic_studies Limits: Adult / Child / Humans Language: En Journal: Nat Rev Nephrol Journal subject: NEFROLOGIA Year: 2023 Document type: Article Affiliation country: United States
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