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 qthe voice of the customerq 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.If you do not have SPC software, you can use the average of the denominators to compute straight control limits. If you choose to use the average ... Management Considerations There are many variables in healthcare that are appropriate for p- charts. We frequently have ... In each of these cases, however, the total number of events (the denominators) varies, which makes the p-chart appropriate. Anotheranbsp;...

Title | : | Measuring Quality Improvement in Healthcare |

Author | : | Raymond G. Carey, Robert C. Lloyd |

Publisher | : | ASQ Quality Press - 1995 |

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