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USING MOVING AVERAGE PROCESS CONTROL CHARTS IN BIOMEDICAL APPLICATIONS

Authors: Steven M. Zimmerman Ph.D., Professor of Quality and System Management, University of South Alabama, Mobile, Alabama.
Robert N. Zimmerman, Quality Control Manager, Biomedical Quality Control of America, Inc. Mobile, Alabama.
Lonnie D. Brown, Biomedical Engineering, University of South Alabama Medical Center, Mobile, AL
Shannon S. Brown, Quality Assurance, University of South Alabama Medical Center, Mobile, AL

Published:Proceedings- Ninth International Conference of the Israel Society of Quality Assurance, 1992, November 1992, pages 761-764.

Significance:Biomedical data collected at a rapid rate has a high degree of autocorrelation. Among the control charts designed to work under these conditions are the expondential weighted moving average (EWMA) and a moving average control chart. The paper investigated the use of the moving average control chart. It worked, but the reaction of the caregiver was not positive. The BimedQC approach was found to be more acceptable.

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