Control Charts Application on Hospital Length of Stay Data

  • Sucheta Ketkar Department of Statistics, Ramnarain Ruia College, Matunga, Mumbai, India.
  • Manik Khaparde PG Teaching Department of Statistics, RTMN University, Nagpur, India.
Keywords: XMR chart, EWMA chart, Six Sigma initiative

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.

References

William H.Woodall, Use of control charts in health-care and public-health surveillance (with discussion), Journal of Quality Technology, 38(2006), 89-104.

Michael Coory, S.Duckett and K.Sketcher-Baker, Using Control charts to monitor quality of hospital care with administrative data, International Journal for Quality in Health Care, 10(I)(2007), 31-39.

R.Radhakrishnan and P.Balamurugan, Construction of Control Charts Based on Six Sigma Initiative For Mean Using Range, Bulletin of Mathematics and Statistics Research, 4(3)(2016).

R.Radhakrishnan and P.Balamurugan, Six Sigma Based Exponentially Weighted Moving Average Control Chart, Indian Journal of Science and Technology, 3(9-10)(2010), 1052-1055.

M.A.Mohammed, P.Worthington and W.H.Woodall, Plotting basic control charts: Tutorial notes for healthcare practitioners, Quality and Safety in Health Care, 17(2008), 137-145.

J.C.Benneyan, R.C.Lloyd and P.E.Plsek, Statistical process control as a tool for research and healthcare improvement, Quality & Safety in Health Care, 12(2003), 458-464.

D.C.Montgomery, Introduction to Statistical Quality Control, 6th Edition, John Wiley & Sons, Inc., Hoboken, NJ, (2008).
How to Cite
Sucheta Ketkar, & Manik Khaparde. (2017). Control Charts Application on Hospital Length of Stay Data. International Journal of Current Research in Science and Technology, 3(3), 31-38. Retrieved from https://crst.gfer.org/index.php/crst/article/view/88
Section
Articles