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Method for Automated Monitoring of Hand Hygiene Adherence without Radio-Frequency Identification

Published online by Cambridge University Press:  02 January 2015

Philip M. Polgreen ,
Christopher S. Hlady ,
Monica A. Severson ,
Alberto M. Segre  and
Ted Herman
Philip M. Polgreen*
Affiliation:
Carver College of Medicine, University of Iowa, Iowa City College of Public Health, University of Iowa, Iowa City
Christopher S. Hlady
Affiliation:
Departments of Computer Science, University of Iowa, Iowa City
Monica A. Severson
Affiliation:
Industrial Engineering, University of Iowa, Iowa City
Alberto M. Segre
Affiliation:
Departments of Computer Science, University of Iowa, Iowa City
Ted Herman
Affiliation:
Departments of Computer Science, University of Iowa, Iowa City
*
Division of Infectious Diseases, Department of Internal Medicine, University of Iowa, Carver College of Medicine, 200 Hawkins Drive, Iowa City, IA 52242, (philip-polgreen@uiowa.edu).
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Abstract

Many efforts to automatically measure hand hygiene activity depend on radio-frequency identification equipment or similar technology that can be expensive to install. We have developed a method for automatically tracking the use of hand hygiene dispensers before healthcare workers enter (or after they exit) patient rooms that is easily and quickly deployed without permanent hardware.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 31 , Issue 12 , December 2010 , pp. 1294 - 1297
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2010

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References

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