Vocera Analytics dashboard is a tool that analyzes, tracks, and displays a collection of data based on defined metrics and key performance indicators (KPIs) for the entire Vocera platform.
The information that is displayed is customizable to meet the needs of a specific Voice Server group of type department or an Engage unit in a healthcare provider setup.
The main features of the Vocera Analytics dashboards are to:
- Provide monitoring of data for a particular group/role in a given location.
- Provide statistical data such as operational figures, workflow level flows, and interrupt types.
- Compare statistical reports between different users/groups/locations across a healthcare enterprise.
- Allow export of dashboard data as a CSV or PDF file. For more information about exporting a dashboard to PDF, refer to Limitations of Exporting Dashboards to PDFs.
Data in the dashboards are represented as pie charts and bar graphs. Some dashboards also represent data in a tabular format.
The pie charts are represented by size, clockwise, with the largest portion at the upper right side. The bar charts or any other widget is displayed in alphabetical order.
Note: If the department has the same name in multiple facilities, then the corresponding facility name is appended in parenthesis.
For example, if the department name NICU is available in Downtown facility and Community facility, then the dashboard displays the department names as NICU (Downtown) and NICU (Community).
Wherever content in a field is more than the field width, hover over the field to view the entire content.
Note: Although Engage data is not part of the dashboard, Engage facility and unit will be displayed in the filter.
Note: If any dimension such as user, facility, group/department is changed, (for example, old department is removed and new department is added with new name or same name), the historical data in Vocera Analytics will not be updated. The filter list will also display both the old and new dimensions as the data is not merged or updated retroactively. This ensures that the data is consistent with the historical context of the dimensions.
