Shewhart's Theory for Statistical Process Control (SPC) requires a change in thinking from error detection to error prevention and has a few healthcare benefits. Several of the benefits include patient focus, increased quality awareness, decisions based on data, implementing predictable healthcare processes, reduced costs, fewer errors resulting in increased patient safety, and improved processes that result in improved healthcare outcomes and better quality care. However, every process varies. In SPC terminology related to a control chart, a common cause variation does not suggest that a process functions at a desirable or undesirable level, but if the nature of the variation is stable or predictable within certain limits. An unusual cause variation is an adverse finding, and any changes made in a healthcare organization should not be made until it identifies and eliminates special causes. A control chart will tell a healthcare organization if a variation is a common or special cause and how to approach an improvement process. If it is a special cause, the healthcare organization should investigate it and eliminate it, not change the process. If there is a common cause variation, the implementation of a process change will address the variation. Control charts will reveal whether the change was effective (Nash, Joshi, Ransom & Ransom, 2019). Look at these statistical tools for quality improvement and describe the differences between common cause variation and unique cause variation. Also explain any ethical, legal, or moral obligations that would support your rationale..

1. Shewhart's Theory for Statistical Process Control (SPC) requires a change in thinking from error
detection to error prevention and has a few healthcare benefits. Several of the benefits include
patient focus, increased quality awareness, decisions based on data, implementing predictable
healthcare processes, reduced costs, fewer errors resulting in increased patient safety, and
improved processes that result in improved healthcare outcomes and better quality care.
However, every process varies. In SPC terminology related to a control chart, a common cause
variation does not suggest that a process functions at a desirable or undesirable level, but if the
nature of the variation is stable or predictable within certain limits. An unusual cause variation is
an adverse finding, and any changes made in a healthcare organization should not be made until
it identifies and eliminates special causes. A control chart will tell a healthcare organization if a
variation is a common or special cause and how to approach an improvement process. If it is a
special cause, the healthcare organization should investigate it and eliminate it, not change the
process. If there is a common cause variation, the implementation of a process change will
address the variation. Control charts will reveal whether the change was effective (Nash, Joshi,
Ransom & Ransom, 2019).
Look at these statistical tools for quality improvement and describe the differences between
common cause variation and unique cause variation. Also explain any ethical, legal, or moral
obligations that would support your rationale.