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Tailoring of alerts substantially reduces the alert burden in computerized clinical decision support for drugs that should be avoided in patients with renal disease

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Main Authors: Czock, David (Author) , Konias, Michael (Author) , Seidling, Hanna (Author) , Kaltschmidt, Jens (Author) , Schwenger, Vedat (Author) , Zeier, Martin (Author) , Haefeli, Walter E. (Author)
Format: Article (Journal)
Language:English
Published: July 2015
In: Journal of the American Medical Informatics Association
Year: 2015, Volume: 22, Issue: 4, Pages: 881-887
ISSN:1527-974X
DOI:10.1093/jamia/ocv027
Online Access:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1093/jamia/ocv027
Verlag, kostenfrei, Volltext: https://academic.oup.com/jamia/article/22/4/881/1746433/Tailoring-of-alerts-substantially-reduces-the
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Author Notes:David Czock, Michael Konias, Hanna M. Seidling, Jens Kaltschmidt, Vedat Schwenger, Martin Zeier, Walter E. Haefeli
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Item Description:Gesehen am 23.03.2017
Physical Description:Online Resource
ISSN:1527-974X
DOI:10.1093/jamia/ocv027

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