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Abstract-Medical Instrumentation + Quality Control = Early Warnings of Patient Instability

Authors: L. D. Brown, University of South Alabama Medical Center, Mobile Alabama
Steven M. Zimmerman, Ph.D., Professor of Quality and Systems Management University of South Alabama
Shannon Brown, University of South Alabama Medical Center, Mobile, AL

Published: Association for the Advancement of Medical Instrumentation 25th Annual Meeting and Exposition 1990, p.17.

Significance: This paper demonstrated that medical instrumentation could be interfaced to personal computers and that the computers could analze the data, apply statistical quality control procedures to the data, and display the data in real-time statistical process control charts.

These charts provide a better understanding of patient stability. The advantages are:

1) It provides a method of setting statistical limits based on the performance of a given individual's own body functions
2) The data may be analyzed in real-time or concurrently with its collection.
The patient data streams studied were:
(1) Heart rate
(2) Invasive and non-invasive blood pressure
(3) Skin temperature
(4) Arterial oxygen saturation
(5) Pulse pressure
Control charts for selected data streams are presented to illustrate the results obtained. The idea is simple, the potential results are great. This work is the foundation for BiomedQC.

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