Related Experiment Video
Updated: May 30, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Control charts as an early-warning system for workplace health outcomes
J Larsson1, B J Landstad, H Wiklund
1Department of Engineering and Sustainable Development, Quality Technology and Management, Mid Sweden University, Östersund, Sweden. johan.larsson@miun.se
Introduction:
Statistical process control (SPC) charts have not been widely used to monitor workplace health and work environments. This research and effort to develop a more accurate and easy to use management control system for employee health is important from a humanistic, societal and economic standpoint, as well as complying with laws that regulate work environments.
Objective:
The purpose of the study is to design and discuss control charts as an early warning system for workplace health outcomes to promote workplace health management. Another purpose is to discuss relevant factors in the concept of the out-of-control action plan (OCAP) as a response when a chart warns that the workplace process may be malfunctioning.
Participants:
Two Swedish organizations were selected as case study organizations: a department at a university and an elderly care operation in a municipality.
Methods:
This study was explorative and should be seen as a starting point in learning how to use control charts for workplace health management. Self-assessed general health and new sick-cases per employee were selected as indicators for the control charts.
Results:
An integrated early warning system with Cumulative Sums- and Shewhart-charts are presented to show a possible method as to how an early warning system can be structured through the use of statistical control charts.
Conclusions:
The conclusion of this study is that control charts, along with well-designed implementation, make up a powerful and useable managerial early-warning system which promotes workplace health and helps to prevent sickness absence.
Related Concept Videos
Interpreting Run Charts
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality characteristic in the order in which...
Run Charts
The R Chart
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line represents the process mean,...
Introduction to Statistical Process Control