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Prospective Validation of Central Line–Days Derived From an Electronic Medical Record System

Published online by Cambridge University Press:  08 June 2015

John M. Boyce ,
George Paci ,
Carl Feidner ,
Lori Hubbard ,
Laurie Devin ,
Lenore Reilly ,
Anthony Gentile  and
Jonathan M. Siner
John M. Boyce*
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut Yale University School of Medicine, New Haven, Connecticut.
George Paci
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Carl Feidner
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Lori Hubbard
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Laurie Devin
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Lenore Reilly
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Anthony Gentile
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Jonathan M. Siner
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut Yale University School of Medicine, New Haven, Connecticut.
*
Address correspondence to John M. Boyce, MD, Yale-New Haven Hospital, 20 York St, New Haven, CT 06510 (john.boyce@ynhh.org).
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Abstract

Validation of the number of central line–days by hospitals is required by the National Healthcare Safety Network. A prospective study that compared a daily report of such days generated by an electronic medical record with observational audits by nurses revealed that the report was 100% sensitive and 99.9% specific.

Infect. Control Hosp. Epidemiol. 2015;36(9):1098–1099

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 36 , Issue 9 , September 2015 , pp. 1098 - 1099
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

REFERENCES

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