TY - JOUR
T1 - Design, validation and implementation of an automated e-alert for acute kidney injury
T2 - 6-month pilot study shows increased awareness
AU - Niemantsverdriet, Michael S A
AU - Tiel Groenestege, Wouter M
AU - Khairoun, M
AU - Hoefer, Imo E
AU - van Solinge, Wouter W
AU - Bellomo, Domenico
AU - van Vliet, Martin H
AU - Kaasjager, Karin A H
AU - Haitjema, Saskia
N1 - Funding Information:
M.S.A. Niemantsverdriet is supported by a PhD fellowship from SkylineDx, Rotterdam. D. Bellomo and M.H. van Vliet are employed by SkylineDx, Rotterdam. All others have no potential conflict of interest to report.
Publisher Copyright:
© 2023, The Author(s).
PY - 2023/7/27
Y1 - 2023/7/27
N2 - 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.
AB - 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.
KW - AKI
KW - Before-after study
KW - Data science
KW - E-alert
KW - Electronic health records
UR - https://www.scopus.com/pages/publications/85165868386
U2 - 10.1186/s12882-023-03265-4
DO - 10.1186/s12882-023-03265-4
M3 - Article
C2 - 37501175
SN - 1471-2369
VL - 24
JO - BMC Nephrology
JF - BMC Nephrology
IS - 1
M1 - 222
ER -