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Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness

BACKGROUND: Acute kidney injury (AKI) is defined as a sudden episode of kidney failure but is known to be under-recognized by healthcare professionals. The Kidney Disease Improving Global Outcome (KDIGO) guidelines have formulated criteria to facilitate AKI diagnosis by comparing changes in plasma c...

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Autores principales: Niemantsverdriet, Michael S.A., Tiel Groenestege, Wouter M., Khairoun, M., Hoefer, Imo E., van Solinge, Wouter W., Bellomo, Domenico, van Vliet, Martin H., Kaasjager, Karin A.H., Haitjema, Saskia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375640/
https://www.ncbi.nlm.nih.gov/pubmed/37501175
http://dx.doi.org/10.1186/s12882-023-03265-4
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author Niemantsverdriet, Michael S.A.
Tiel Groenestege, Wouter M.
Khairoun, M.
Hoefer, Imo E.
van Solinge, Wouter W.
Bellomo, Domenico
van Vliet, Martin H.
Kaasjager, Karin A.H.
Haitjema, Saskia
author_facet Niemantsverdriet, Michael S.A.
Tiel Groenestege, Wouter M.
Khairoun, M.
Hoefer, Imo E.
van Solinge, Wouter W.
Bellomo, Domenico
van Vliet, Martin H.
Kaasjager, Karin A.H.
Haitjema, Saskia
author_sort Niemantsverdriet, Michael S.A.
collection PubMed
description BACKGROUND: Acute kidney injury (AKI) is defined as a sudden episode of kidney failure but is known to be under-recognized by healthcare professionals. The Kidney Disease Improving Global Outcome (KDIGO) guidelines have formulated criteria to facilitate AKI diagnosis by comparing changes in plasma creatinine measurements (PCr). To improve AKI awareness, we implemented these criteria as an electronic alert (e-alert), in our electronic health record (EHR) system. METHODS: For every new PCr measurement measured in the University Medical Center Utrecht that triggered the e-alert, we provided the physician with actionable insights in the form of a memo, to improve or stabilize kidney function. Since e-alerts qualify for software as a medical device (SaMD), we designed, implemented and validated the e-alert according to the European Union In Vitro Diagnostic Regulation (IVDR). RESULTS: We evaluated the impact of the e-alert using pilot data six months before and after implementation. 2,053 e-alerts of 866 patients were triggered in the before implementation, and 1,970 e-alerts of 853 patients were triggered after implementation. We found improvements in AKI awareness as measured by (1) 2 days PCr follow up (56.6–65.8%, p-value: 0.003), and (2) stop of nephrotoxic medication within 7 days of the e-alert (59.2–63.2%, p-value: 0.002). CONCLUSION: Here, we describe the design and implementation of the e-alert in line with the IVDR, leveraging a multi-disciplinary team consisting of physicians, clinical chemists, data managers and data scientists, and share our firsts results that indicate an improved awareness among treating physicians. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03265-4.
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spelling pubmed-103756402023-07-29 Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness Niemantsverdriet, Michael S.A. Tiel Groenestege, Wouter M. Khairoun, M. Hoefer, Imo E. van Solinge, Wouter W. Bellomo, Domenico van Vliet, Martin H. Kaasjager, Karin A.H. Haitjema, Saskia BMC Nephrol Research BACKGROUND: Acute kidney injury (AKI) is defined as a sudden episode of kidney failure but is known to be under-recognized by healthcare professionals. The Kidney Disease Improving Global Outcome (KDIGO) guidelines have formulated criteria to facilitate AKI diagnosis by comparing changes in plasma creatinine measurements (PCr). To improve AKI awareness, we implemented these criteria as an electronic alert (e-alert), in our electronic health record (EHR) system. METHODS: For every new PCr measurement measured in the University Medical Center Utrecht that triggered the e-alert, we provided the physician with actionable insights in the form of a memo, to improve or stabilize kidney function. Since e-alerts qualify for software as a medical device (SaMD), we designed, implemented and validated the e-alert according to the European Union In Vitro Diagnostic Regulation (IVDR). RESULTS: We evaluated the impact of the e-alert using pilot data six months before and after implementation. 2,053 e-alerts of 866 patients were triggered in the before implementation, and 1,970 e-alerts of 853 patients were triggered after implementation. We found improvements in AKI awareness as measured by (1) 2 days PCr follow up (56.6–65.8%, p-value: 0.003), and (2) stop of nephrotoxic medication within 7 days of the e-alert (59.2–63.2%, p-value: 0.002). CONCLUSION: Here, we describe the design and implementation of the e-alert in line with the IVDR, leveraging a multi-disciplinary team consisting of physicians, clinical chemists, data managers and data scientists, and share our firsts results that indicate an improved awareness among treating physicians. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12882-023-03265-4. BioMed Central 2023-07-27 /pmc/articles/PMC10375640/ /pubmed/37501175 http://dx.doi.org/10.1186/s12882-023-03265-4 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Niemantsverdriet, Michael S.A.
Tiel Groenestege, Wouter M.
Khairoun, M.
Hoefer, Imo E.
van Solinge, Wouter W.
Bellomo, Domenico
van Vliet, Martin H.
Kaasjager, Karin A.H.
Haitjema, Saskia
Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title_full Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title_fullStr Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title_full_unstemmed Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title_short Design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
title_sort design, validation and implementation of an automated e-alert for acute kidney injury: 6-month pilot study shows increased awareness
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375640/
https://www.ncbi.nlm.nih.gov/pubmed/37501175
http://dx.doi.org/10.1186/s12882-023-03265-4
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