Applications for Detection of Acute Kidney Injury Using Electronic Medical Records and Clinical Information Systems: Workgroup Statements from the 15th ADQI Consensus Conference-Reference-Cited by-同舟云学术

Applications for Detection of Acute Kidney Injury Using Electronic Medical Records and Clinical Information Systems: Workgroup Statements from the 15th ADQI Consensus Conference

Published:2016-01-01 Issue: Volume:3 Page:100
ISSN:2054-3581
Container-title:Canadian Journal of Kidney Health and Disease
language:en
Short-container-title:Can J Kidney Health Dis

Author:

James Matthew T.¹,Hobson Charles E.²,Darmon Michael³,Mohan Sumit⁴,Hudson Darren⁵,Goldstein Stuart L.⁶,Ronco Claudio⁷,Kellum John A.⁸,Bagshaw Sean M.⁵,

Affiliation:

1. Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada

2. Department of Health Services Research, Management and Policy, University of Florida, Gainesville, Florida

3. Department of Intensive Care Medicine, Saint-Etienne University Hospital, Saint-Priest-En-Jarez, France

4. Department of Medicine, Division of Nephrology, Columbia University Medical Center, New York, NY, USA

5. Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada

6. Department of Pediatrics, Division of Pediatric Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA

7. Department of Nephrology, Dialysis and Transplantation, International Renal Research Institute of Vicenza, San Bortolo Hospital, Vicenza, Italy

8. Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA

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.

Funder

Acute Dialysis Quality Initiative (ADQI)

Publisher

SAGE Publications

Subject

Nephrology

Link

http://journals.sagepub.com/doi/pdf/10.1186/s40697-016-0100-2

Reference45 articles.

1. Diagnosis, Epidemiology and Outcomes of Acute Kidney Injury

2. Where Is the Epidemic in Kidney Disease?

3. Perioperative acute kidney injury: risk factors, recognition, management, and outcomes

4. Notice

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