Statistical process control in healthcare

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statistical process control in healthcare

Measuring Quality Improvement in Healthcare: A Guide to Statistical Process Control Applications by Raymond G. Carey

This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings. The authors straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates the voice of the customer as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership.
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Published 22.12.2018

How to use our statistical process control tool

Taveras M.
Raymond G. Carey

Statistical Process Control

Received: 13 December Accepted: 19 February The concept of Statistical process control SPC was given by the physicist Walter Shewhart in order to improve the industrial manufacturing. The SPC was firstly applied in laboratory and after then shifted to patient level in hospitals. As there is more involvement of human in healthcare, the chances of errors are also more. SPC i. This paper presents the review of literature on the application of SPC and control chart in healthcare sector.

D octors and nurses rely on monitors to track heart rates, oxygen, and other factors in their patients. These monitors set off alarms when the indicators fall below or above certain expected levels. It can also be used for operational indicators such as denied insurance claims. In manufacturing, SPC helps monitor and detect when a process shifts toward making products that are off-specification, which leads to rework and scrap. Most manufacturing SPC use is aimed at reducing variation in the finished product. Using SPC in health care helps improve patient care and operations.

I have long wanted to do a newsletter on the use of SPC in health care. There are a few examples in previous newsletters, but not a complete newsletter that is directed specifically at health care. So, I began to do a little research to see what was out there. There is a lot of material on using SPC in health care. Some good and some not so good as it turns out.

Abstract. Improvement of health care requires making changes in processes of care and service delivery. Although process performance is measured to.
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Materials and methods

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5 COMMENTS

  1. Natasha K. says:

    In health care, there are common concerns about cost, quality, and effectiveness.

  2. Mason B. says:

    Application of statistical process control in healthcare improvement: systematic review

  3. Adèle D. says:

    To systematically review the literature regarding how statistical process control— with control charts as a core tool—has been applied to healthcare quality.

  4. Bartlett G. says:

    To systematically review the literature regarding how statistical process control—with control charts as a core tool—has been applied to healthcare quality improvement, and to examine the benefits, limitations, barriers and facilitating factors related to such application.

  5. Dave E. says:

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