Prompt: Using the rules for interpreting run charts provided in the pre$-$recorded lecture, analyze the chart provided on rates of Clostridium Difficile Infection $($CDI$)$ in a hospital that implemented an electronic hand hygiene monitoring system $($EHHMS$)$ to improve hand hygiene rates. The hospital began more closely monitoring hand hygiene activity at the beginning of the "intervention" period, and the EHHMS was piloted in September $2014$ and fully implemented in November $2014.$

Apply the run chart rules to interpret what's happening over the full pre$-$ and post$-$timeline $($full $6$ years$).$ Would you say this process is in control $($think about what we'd expect the graph of an in$-$control process to look like$),$ or do we have some statistically unlikely patterns $($indicating special cause variation$)?$ Is that a good or bad thing $($in this case$)$