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Editorial
. 2018 Feb;29(2):352-354.
doi: 10.1681/ASN.2017121284. Epub 2018 Jan 15.

Making the Right Decision: Do Clinical Decision Support Systems for AKI Improve Patient Outcomes?

Nicholas M Selby  1   2 , Richard J Fluck  2
Affiliations
Editorial

Making the Right Decision: Do Clinical Decision Support Systems for AKI Improve Patient Outcomes?

Nicholas M Selby et al. J Am Soc Nephrol. 2018 Feb.
No abstract available

Keywords: acute renal failure; kidney disease; kidney dysfunction.

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Figures

Figure 1.
Figure 1.
An electronic alert or computer decision support for AKI must not only alert the health care provider to the presence of AKI but also result in a clinical response if it is to be effective in changing patient outcomes. In many cases, the response to an alert should be prompt review of the patient, which includes making a clinical diagnosis of AKI and determining its etiology. Evaluation of this type of intervention should ideally assess its effect on care processes in tandem with an assessment of patient outcomes and report on how the intervention is implemented.
See this image and copyright information in PMC

Comment on

  • Clinical Decision Support for In-Hospital AKI.
    Al-Jaghbeer M, Dealmeida D, Bilderback A, Ambrosino R, Kellum JA. Al-Jaghbeer M, et al. J Am Soc Nephrol. 2018 Feb;29(2):654-660. doi: 10.1681/ASN.2017070765. Epub 2017 Nov 2. J Am Soc Nephrol. 2018. PMID: 29097621 Free PMC article.

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