Application of statistical Quality control in clinical area
Date: 08 May, Friday
Time: 3-4pm
Speaker: A/Prof Mali Abdollahain (RMIT University)
Abstract: While statistical quality control and profile monitoring have been extensively used in manufacturing area, their application in clinical area has just been started. In clinical monitoring, there are always more than one quality characteristics of interest which are usually correlated. In such cases, multivariate control charts should be deployed to monitor the medical process. In manufacturing industry, Profile monitoring systems assist and help to identify factors related to an observed phenomenon, assess the effect of changing any factor/s on the event and predict the behaviour of the phenomenon under different situations. In many situations the quality and performance of a medical process may be better characterized and summarized by relationship between the response (dependent) variable and one or more explanatory (independent) variables referred to as profile.
In this talk we will show case some of the recent works that we have done in deploying statistical quality control and profile monitoring in monitoring Condition of a patient in an intensive care unit and reducing maternal and newborn mortality rate in developing countries.
Link: https://macquarie.zoom.us/j/91859697810
Date: 08 May, Friday
Time: 3-4pm
Speaker: A/Prof Mali Abdollahain (RMIT University)
Abstract: While statistical quality control and profile monitoring have been extensively used in manufacturing area, their application in clinical area has just been started. In clinical monitoring, there are always more than one quality characteristics of interest which are usually correlated. In such cases, multivariate control charts should be deployed to monitor the medical process. In manufacturing industry, Profile monitoring systems assist and help to identify factors related to an observed phenomenon, assess the effect of changing any factor/s on the event and predict the behaviour of the phenomenon under different situations. In many situations the quality and performance of a medical process may be better characterized and summarized by relationship between the response (dependent) variable and one or more explanatory (independent) variables referred to as profile.
In this talk we will show case some of the recent works that we have done in deploying statistical quality control and profile monitoring in monitoring Condition of a patient in an intensive care unit and reducing maternal and newborn mortality rate in developing countries.
Link: https://macquarie.zoom.us/j/91859697810