Related Experiment Video
Updated: Aug 11, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
Controlling variation in health care: a consultation from Walter Shewhart
1Department of Pediatrics, Harvard Medical School, Boston, MA.
Abstract:
The control of unintended variation is an objective central to modern industrial quality management methods, based largely on the theoretical work of Walter A. Shewhart. As industrial quality management techniques find their place in health care, professionals may feel threatened by the effort to reduce variation. Understanding may reduce this fear. Variation of the types addressed in quality control efforts erodes quality and reliability, and adds unnecessarily to costs. Such undesirable variation derives, for example, from misinterpretation of random noise in clinical data, from unreliability in the performance of clinical and support systems intended to support care, from habitual differences in practice style that are not grounded in knowledge or reason, and from the failure to integrate care across the boundaries of components of the health care system. Quality management efforts can successfully reduce each of these forms of variation without insult to the professional autonomy, dignity, or purpose of health care professionals. Professionals need to embrace the scientific control of variation in the service of their patients and themselves.
Related Concept Videos
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic illness...
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Introduction to Statistical Process Control
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum values—of a sample...
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...

