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Statistics in quality improvement: Measurement and statistical process control
Author(s) -
Wolfe Heather A.,
Taylor April,
Subramanyam Rajeev
Publication year - 2021
Publication title -
pediatric anesthesia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.704
H-Index - 82
eISSN - 1460-9592
pISSN - 1155-5645
DOI - 10.1111/pan.14163
Subject(s) - statistical process control , control chart , quality management , quality (philosophy) , medicine , statistics , measure (data warehouse) , process (computing) , process capability , control (management) , work in process , data mining , data science , computer science , operations management , artificial intelligence , mathematics , engineering , operating system , management system , philosophy , epistemology
Data are used in healthcare quality improvement endeavors to measure and determine whether the changes made in the course of the work have made the desired impact. The methods used to analyze data in quality improvement differ slightly from those used in classical statistics. Run charts and statistical process control charts are the most common types of graphical representations used to visualize data collected for quality improvement. This review provides a basic introduction to measurement in quality improvement and explains the use of run charts and statistical process control charts with real‐life examples.