Using risk-adjusted multivariate cumulative sum control chart in medical outcomes

碩士 === 雲林科技大學 === 工業工程與管理研究所碩士班 === 96 === Cumulative sum control chart (CUSUM) is a useful technique for quick detection of process variation in industrial. Recently, it has been applied in health care to monitor the performance of clinical practitioners, such as surgeons and mortality rate. Unlike...

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Bibliographic Details
Main Authors: Chi-Sheng Yu, 余冀昇
Other Authors: Tong-Yuan Koo
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/98011583147591654375
Description
Summary:碩士 === 雲林科技大學 === 工業工程與管理研究所碩士班 === 96 === Cumulative sum control chart (CUSUM) is a useful technique for quick detection of process variation in industrial. Recently, it has been applied in health care to monitor the performance of clinical practitioners, such as surgeons and mortality rate. Unlike in industrial context, where the “subjects”(products) may be relatively homogeneous in nature, for medical applications the subjects (patients) with different clinical presentations and physiology have different prior risk and hence will often vary greatly. To detect changes in falling rate of patients, with allowance being made for patient case mix, the risk adjustment is implemented in MCUSUM chart. Comparisons between the standard MCUSUM and risk-adjusted MCUSUM charts are made. The result of this research displays that using the risk-adjusted CUSUM control char can more accurately monitor the falling rate and head trauma rate of the environment. When the two variables are dependent, using MCUSUM control chart can detect the out-of-control signals which ignore on the CUSUM control chart.