Control Charts Application on Hospital Length of Stay Data
Abstract
Statistical Process Control is an effective tool to separate the variations due to common and special causes. It was originally developed for the engineering and industrial products. As it is a powerful graphical tool it has found its application in healthcare science. The length of stay in the hospital depends on the type of disease, the type of treatment, etc. By applying XMR and EWMA charts to these data, we checked whether the length of stay variable is under control. As the companies producing goods are moving towards zero defects based on six sigma initiative, healthcare practices also should apply six sigma initiative. In this paper six sigma based individual control chart is developed for the same length of stay data from the hospital.
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