title: Applications for detection of acute kidney injury using electronic medical records and clinical information systems: workgroup statements from the 15(th) ADQI Consensus Conference.
abstract: Electronic medical records and clinical information systems are increasingly used in hospitals and can be leveraged to improve recognition and care for acute kidney injury. This Acute Dialysis Quality Initiative (ADQI) workgroup was convened to develop consensus around principles for the design of automated AKI detection systems to produce real-time AKI alerts using electronic systems. AKI alerts were recognized by the workgroup as an opportunity to prompt earlier clinical evaluation, further testing and ultimately intervention, rather than as a diagnostic label. Workgroup members agreed with designing AKI alert systems to align with the existing KDIGO classification system, but recommended future work to further refine the appropriateness of AKI alerts and to link these alerts to actionable recommendations for AKI care. The consensus statements developed in this review can be used as a roadmap for development of future electronic applications for automated detection and reporting of AKI.
authors.affiliation: Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
authors.forename: Matthew T
authors.initials: MT
authors.lastname: James
authors.affiliation: Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida.
authors.forename: Charles E
authors.initials: CE
authors.lastname: Hobson
authors.affiliation: Department of Intensive Care Medicine, Saint-Etienne University Hospital, Saint-Priest-En-Jarez, France.
authors.forename: Michael
authors.initials: M
authors.lastname: Darmon
authors.affiliation: Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY USA.
authors.forename: Sumit
authors.initials: S
authors.lastname: Mohan
authors.affiliation: Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
authors.forename: Darren
authors.initials: D
authors.lastname: Hudson
authors.affiliation: Department of Pediatrics, Division of Pediatric Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH USA.
authors.forename: Stuart L
authors.initials: SL
authors.lastname: Goldstein
authors.affiliation: Department of Nephrology, Dialysis and Transplantation, International Renal Research Institute of Vicenza, San Bortolo Hospital, Vicenza, Italy.
authors.forename: Claudio
authors.initials: C
authors.lastname: Ronco
authors.affiliation: Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA USA.
authors.forename: John A
authors.initials: JA
authors.lastname: Kellum
authors.affiliation: Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
authors.forename: Sean M
authors.initials: SM
authors.lastname: Bagshaw
keywords: Acute kidney injury; Clinical decision support; Clinical informatics; Detection