Control, compare and communicate: designing control charts to summarise efficiently data from multiple quality indicators
نویسندگان
چکیده
منابع مشابه
Control, compare and communicate: designing control charts to summarise efficiently data from multiple quality indicators.
Summarising the complex data generated by multiple cross sectional quality indicators in a way that patients, clinicians, managers and policymakers find useful is challenging. A common approach is aggregation to create summary measures such as star ratings and balanced score cards, but these may conceal the detail needed to focus quality improvement. We propose an alternative way of summarising...
متن کاملFUZZY CONTROL CHARTS FOR VARIABLE AND ATTRIBUTE QUALITY CHARACTERISTICS
This paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. Derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. We extend the use o...
متن کاملDesigning Control Charts for Minimum Total Quality Costs
The basic control chart consists of sampling from a process over time and charting process measurements. For as long as the measurements fall inside control limits (L), the process is considered in-control. In feed production, it is customary to set the control limits at two standard deviations. This practice does not consider the probability of both Type I and Type II errors in addition to all...
متن کاملRisk-adjusted control charts based on LR-fuzzy data
Control charts are widely used in industrial processes as well as in health sciences and particularly for monitoring the performance of cardiac surgeon or a group of surgeons based on the preoperative risk of patients. Since the preoperative risk is a vague and nonprecise variable and the anesthesiologists after checking how many risk factors a patient has, determine the risk of mortality befor...
متن کاملNonparametric Shewhart-type Quality Control Charts in Fuzzy Environment
Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean), or changes in the variability process where there is limited knowledge regarding the underlying process. When observations are reported imprecise, then it is impossible to use classical nonparametric control charts. This paper is devoted to the problem of c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Quality and Safety in Health Care
سال: 2005
ISSN: 1475-3898,1475-3901
DOI: 10.1136/qshc.2005.014456