Data Analysis To Support Healthcare Decisions | 23917
Industrial Engineering & Management
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Turning data into information that can be used to make timely decisions is a challenge that organizations have been facing
for many years. In today?s technology age, there is no shortage of data. Organizations have databases that store all varieties
of data. The term big data is used because the amount of data systems can generate in this technology era. Decision makers
must use various analytical concepts to synthesize and visualize the data. The purpose of this presentation is to propose a
clinical and operational data infrastructure to support hospital administrators in making decisions. The final conclusion will
suggest methods to identify inherent patterns, correlations, and anomalies which provide valuable insight for healthcare data
analysts and executives.
Sampson Gholston is an Associate Professor of Industrial and Systems Engineering and Engineering Management at The University of Alabama in Huntsville. He
has a PhD in Industrial and Systems Engineering from The University of Alabama in Huntsville, a Masters in Industrial Engineering for The University of Alabama,
and Bachelors from Austin Peay State University in Engineering Technology. He teaches classes in Quality Engineering, including Introduction to Statistical
Quality Control, Quality Management, Advanced Quality Control and Engineering Statistics. His research area is applied statistics, quality engineering, quality
management, and engineering education. He worked for the GM Saturn Corporation as lead supplier quality engineer. He holds a Six Sigma Black Certification
and has as great deal of industry experience. He is the President of the North Alabama Chapter of the Society of Manufacturing Engineers and works on several
committees for the Society at the National level. He has served as an examiner for the Sterling Award for three years. He has also served three years as an
examiner on the National Baldrige Quality Award.
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