Literature DB >> 27951559

Automated Electronic Alert Systems for Acute Kidney Injury: Current Status and Future Perspectives.

Eiichiro Uchino, Naoya Kondo, Takeshi Matsubara, Motoko Yanagita.   

Abstract

BACKGROUND: Acute kidney injury (AKI) is a common and serious condition, but the process of care for patients with AKI is currently suboptimal. Automated AKI electronic (e)-alert systems are expected to improve the process of care and patient outcomes.
SUMMARY: There have been several reports on the implementation of e-alert systems, which have the potential to improve patient outcomes, but evidence of their effectiveness has not been established. There are some challenges to the development of better e-alert systems. Algorithms for detection should be examined, optimal alert outputs should be designed for each situation, and appropriate evaluation of the overall working of the systems is essential for future studies. Key Messages: Improvements to the current features of e-alert systems should include a better AKI detection algorithm and appropriate alert outputs, and overall system performance should be evaluated in future studies.
© 2017 S. Karger AG, Basel.

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Year:  2016        PMID: 27951559     DOI: 10.1159/000452260

Source DB:  PubMed          Journal:  Contrib Nephrol        ISSN: 0302-5144            Impact factor:   1.580


  2 in total

1.  Severe acute kidney disease is associated with worse kidney outcome among acute kidney injury patients.

Authors:  Yih-Giun Cherng; Mai-Szu Wu; Yu-Wei Chen; Mei-Yi Wu; Cheng-Hsien Mao; Yu-Ting Yeh; Tzu-Ting Chen; Chia-Te Liao; Cai-Mei Zheng; Yung-Ho Hsu
Journal:  Sci Rep       Date:  2022-04-20       Impact factor: 4.379

2.  Propensity-score-matched evaluation of under-recognition of acute kidney injury and short-term outcomes.

Authors:  Buyun Wu; Li Li; Xiaoyan Cheng; Wenyan Yan; Yun Liu; Changying Xing; Huijuan Mao
Journal:  Sci Rep       Date:  2018-10-11       Impact factor: 4.379

  2 in total

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