Shift Analysis Metric Overview (Version 1)

Shift Analysis (Version 1)

The Shift Analysis metric gives you insight into when providers create events outside of their shift and can aid in investigating potential drug diversion. Unlike the second version of shift analysis, version one's data is not included in your provider's IRIS. The goal of this metric is to match the shift data for a provider with qualified events to define unusual events. 

Access the Dashboard

Navigate to the Analyze tab in the main dashboard menu and then select User Analytics in the drop-down menu. This will forward you to the IRIS Dashboard where you can then select the Shift Analysis Metric link to view its dashboard.

Filters

The Shift Analysis metric dashboard includes the following filters:

• Start Date - allows you to select a start date for your data
• End Date - allows you to select an end date for your data
• Department - allows you to select one or multiple departments to pull data from 
• User Search - allows you to search for a specific user by name within the provider panel (Coming soon with IRIS 2.0 update!)
• Role - allows you to search based on a user's role (Coming soon with IRIS 2.0 update!) 
• Shifts- allows you to filter the data based on the user's work shift (shift times vary)
  • Day Shift, Night Shift, Swing Shift (Coming soon with IRIS 2.0 update!) 

Interact with the Dashboard

Manager-level users can create shift "containers" from the Shift Scheduler page (within the Manage tab) and these shifts represent typical shifts that providers normally work (e.g., 7 am-7 pm). Once these shift containers are identified, you can see which providers create events outside of those shift times. You can select one or multiple shifts utilizing the Shifts filter and the selected shifts will appear in the scatter plot.  The shifts are color-coded and displayed as cubes in the plot. The plot makes it easy to identify events that occur outside of a specific provider's shift window. If you select a cube in the plot it will turn pink and trigger a small dialogue box that reveals the provider's name, event time, and event count. It will also include a link to investigate the data further on a separate page. 

In the screenshot above, you can see that the 7 am-7 pm shift is shaded in a yellow color. Providers who have activity for the days in the selected time window are seen in the plot with their event data represented by the colors in the heat map. Darker colors indicate a higher amount of activity within the 1-hour time block. Providers who have colored squares outside of the yellow-shaded area are inferred to be touching those controlled substances outside of their shift window.