Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Niemantsverdriet MSA

PROVIDER: S-EPMC10375640 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Publications

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

Niemantsverdriet Michael S A MSA Tiel Groenestege Wouter M WM Khairoun M M Hoefer Imo E IE van Solinge Wouter W WW Bellomo Domenico D van Vliet Martin H MH Kaasjager Karin A H KAH Haitjema Saskia S

BMC nephrology 20230727 1

<h4>Background</h4>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.<h4>Methods</h4>For every ne ...[more]

PMID: 37501175

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Dataset Information

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

Background

Methods

Results

Conclusion

Publications

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

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