Application of statistical processes control for the performance improvement of a clinical engineering department

Abstract

This article addresses the fundamental role of Statistical Process Control (SPC) as a quality tool in the field of clinical engineering, to improve and optimize internal processes. This study describes the methodology used to apply the SPC in a reference hospital's clinical engineering department. Data was collected over an extensive period, involving multiple medical equipment and verification procedures. These data were analyzed using various statistical tools, such as control charts, Pareto charts, and descriptive statistics. The results showed stability in the department's processes, which made it possible to identify areas for potential improvement. Statistical analyses revealed behavior patterns and trends that were not previously apparent. Based on these conclusions, specific modifications were proposed in the department's processes to optimize efficiency, reduce costs, and improve service quality. The implementation of these modifications based on evidence suggests that they would positively impact the general performance of the clinical engineering department if applied. Key indicators could improve significantly, reflecting increased medical equipment reliability and availability, decreased unscheduled downtime, and increased satisfaction for department staff and equipment users. In summary, this study highlights the importance of using SPC as a powerful improvement tool in clinical engineering. By adopting an approach based on data and scientific evidence, clinical engineering departments can achieve more efficient and effective management of their processes, contributing to higher-quality medical care and patient safety.