Abstract

In this paper, we discuss the application of the exponentially weighted moving average (EWMA) control chart for the monitoring blood glucose in type-II diabetes patients. We present tables for the practical use in healthcare. From the simulation results and a real example, the efficiency of the proposed chart in detecting a shift in diabetic level is compared with the existing chart. It is found that the proposed chart provides a strict method to monitor the diabetic levels in diabetes patients. From the simulation results and a real example, it is concluded that the use of the proposed chart in health care issues may reduce the risk of heart disease by monitoring diabetic levels in an effective way.

Highlights

  • Nowadays, control charts have many applications in public health and healthcare monitoring in hospitals and the improvement of hospital performance

  • The World Health Organization (WHO) defines diabetes as a metabolic disorder of multiple etiologies characterized by chronic hyperglycemia with disturbances of carbohydrate, fat, and protein metabolism that results from defects in insulin secretion, insulin action, or both

  • Shewhart control chart is unable to detect a shift in the sugar level, which may cause of series diseases associated control chart is unable to detect a shift in the sugar level, which may cause of series diseases

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Summary

Introduction

Control charts have many applications in public health and healthcare monitoring in hospitals and the improvement of hospital performance. One of the most important procedures in statistical process control methods are control chart techniques, which are useful to improve the quality improvement in surveillance of an in-control process in health care. Shewhart [2] originally proposed that control charts can be used to understand present process performance and variation, to help achieve and confirm when a state of statistical control or the desired quality level has been reached, and to verify an improved process. The most important purpose of statistical process control (SPC) is that the use control charts is used to initiate and evaluate quality improvement activities.

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