Evaluation and improvement of drug management process is essential for patient safety. The present study was performed whit the aim of assessing risk of drug management process in Women Surgery Department of QEH using HFMEA method in 2013. A mixed method was used to analys failure modes and their effects with HFMEA. To classify failure modes; nursing errors in clinical management model, for cla...

New "g" and "h" type statistical control charts are developed and illustrated for monitoring hospitalacquired infections and other low frequency adverse events, such as heart surgery complications, catheterrelated infections, surgical site infections, contaminated needle sticks, and other iatrically induced outcomes. These new charts, based on inverse sampling from geometric and negative binomi...

Conventional statistical process control (SPC) charts require the normality assumption on the process response distribution. In reality, this assumption is often invalid. In such cases, it has been well demonstrated in the literature that results from control charts using the normality assumption may not be reliable in the sense that their actual false alarm rates could be substantially larger ...

Statistical process control (SPC) charts are increasingly being used in healthcare to aid in process understanding, assess process stability, and identify changes that indicate either improvement or deterioration in quality. They are used in hospital process improvement projects, by accrediting bodies and governmental agencies, and for public health surveillance. We provide an overview of commo...

When a process demonstrates complex cause-and-effect relationships, adjustments are often used, such as automatic control (APC). On the other hand, statistical (SPC) is used to identify causes of abnormality. For example, we use charts for monitoring. However, in with adjustments, careful consideration should be taken toward choosing characteristics abnormalities may go undetected through sole ...

The define–measure–analyze–improve–control (DMAIC) approach is a five-strata approach, namely DMAIC. This approach is the scientific approach for reducing the deviations and improving the capability levels of the manufacturing processes. The present work elaborates on DMAIC approach applied in reducing the process variations of the stub-end-hole boring operation of the manufacture of cra...

This paper consider an MMLE (Modified Maximum Likelihood Estimation) based scheme to estimate software reliability using exponential distribution. The MMLE is one of the generalized frameworks of software reliability models of Non Homogeneous Poisson Processes (NHPPs). The MMLE gives analytical estimators rather than an iterative approximation to estimate the parameters. In this paper we propos...

Due to the rapid change of technology along with advanced data-collection systems, the simultaneous monitoring of two or more quality characteristics (or variables) is necessary. Multivariate Statistical Process Control (SPC) charts are able to effectively detect process disturbances. However, when a disturbance in a multivariate process is triggered by a multivariate SPC chart, process personn...

Over the past decades, control charts, one of essential tools in Statistical Process Control (SPC), have been widely implemented manufacturing industries as an effective approach for Anomaly Detection (AD). Thanks to development technologies like Internet Things (IoT) and Artificial Intelligence (AI), Smart Manufacturing (SM) has become important concept expressing end goal digitization manufac...

Software reliability may be used as a measure of the Software system‟s success in providing its function properly. Software process improvement helps in finishing with reliable software product. Software process improvement includes monitoring software development practices and actively seeking ways to increase value, reduce errors, increase productivity, and enhance the developer‟s environment...