A Review on Statistical Process Control in Healthcare: Data-Driven Monitoring Schemes

In recent years, the adoption of statistical process monitoring (SPM) techniques in healthcare has been successful. For instance, biosurveillance and biosignal have demonstrated direct benefits. As latest reviews literature show, parametric SPM implemented to evaluate quality-of-service hospitals provide, track medical equipment, monitor safety markers, or assess improvements made by quality projects. However, as shown this research, world-trending topics data science that include data-driven approaches integrated with not reviewed. To bridge gap shed light on new a systematic review scientific databases taxonomic analysis were performed. scientometric analysis, set bibliometric indicators obtained portray performance each subtopic, such examining growth kinetics, identifying top authors, journals, countries affiliations, well creating network maps co-authorship keyword co-occurrence. Additionally, involved grouping proposals methodological approach. Each approach was explained discussed identify advantages, limitations, challenges researchers practitioners may encounter. require more flexibility account for frequency unbalance, complexity, dimensionality problems, speed. Those working computer-oriented areas can expand their toolbox incorporating sequential enhance power classifiers, risk, reduce misspecification, adopt model-oriented mindsets.