What is Analytics?
Analytics dashboards are created from a third-party integration with a BI tool that sits on top of your data from your domain in InputHealth. Currently, these dashboards are created by the InputHealth data team when requested by a CHR user.
The team has created multiple “standard” or “canned” dashboards that cover most areas of the platform. These can be added to a CHR users' account relatively quickly with no added cost. Custom requests however need to be made by the user.
See the below link for more details on our Standard Analytics Dashboards:
Where can I find the Analytics Dashboards?
When integrated with Analytics, you will find these dashboards by clicking on the Analytics icon (eye) found at the bottom of the list of modules of the platform on the left hand side.
Once you click on the Analytics icon, a list of your added dashboards will appear on the right hand side of your screen.
You can scroll through your list, or alternatively search for the dashboard you need.
You can then click on the name of the dashboard to load it up.
PLEASE NOTE: If you do not see this Analytics (eye) icon in your list of modules, you do not have the correct permissions enabled on your account to view the Analytics add-on. Your account administrator can grant you this permission in Settings --> Account --> User List --> Edit gear --> Permissions --> Analytics.
How do I use these Dashboards?
You will find all the filters available to you at the top of the screen "FILTERS".
When the dashboard is first loaded, they will be collapsed into a row.
Clicking anywhere on the filtering toolbar will expand the view of the available filters.
Types of Filters:
There are different “types” of filters, with different types of filtering options:
Text: can use options like “contains” or “starts with”
Date: can use date ranges or specific times
Numerical: can use options like “greater than” or “is between”
With every filter set you are “adding” specific filters together
Start Date “is in the past 7 days” AND Practitioner “is equal to Dr. Smith”
For text type filters, clicking in the empty space will prompt “suggestions” to be loaded and chosen from
Appointment Status will suggest “action_required”, “arrived”, “being_seen” etc.
If you have selected value(s) to filter on in a text type filter, you have the option to remove those value(s) by selecting the small “x” on the right hand side of that value
You also have the option of adding multiple “options” on the same filter, by using the plus “+” icon on the right hand side of the filter in the toolbar
IMPORTANT NOTE: for text type filters, adding multiple values automatically acts as “OR”
Appointment Start Date “is in the past 7 days” OR “is on the day X”
For more adventurous/advanced users, you can also use the “matches (advanced)” option for filters. Here you can enter filter expressions for a more advanced way to filter. When you select the option to use the “matches (advanced)” option, you will notice a “question mark” icon appear on the right hand side of the filter. This will bring you to a documentation page on how to use these expressions.
Once you have chosen your desired filters, click “Run” on the top right hand side to apply them to the reports/tiles.
What we call a tile or report, is the individual visualizations you see in each dashboard. Each Report/Tile They are separated by grey borders.
For most tiles/report, you will have the option to “drill down” into the report/visualization:
Click on the number/bar/line/pie slice/etc. found in the visualization
A new window will appear that includes a table of the detailed information associated with the area you “drilled” into.
At the top of the drill down window, it will confirm which filters are being applied to the information found here.
You will also be able to download this drill down table by selecting the “Download Results” button found at the top right hand corner of the window
For visualizations with “legends” (usually a colour icon next to a label) you are able to selectively hide/show the associated data points by clicking on the respective legend label
Example: For Appointments By Status, you can click on each status in the legend to show/hide their associated bar in the graph
In table visualizations or drill downs, you will sometimes find platform “linking” present with certain IDs. For example linking associated with Patient ID, Encounter ID, Appointment ID, etc. These will appear as three horizontal dots on the right side of the ID value. If you click on those dots, it will prompt you to “jump” into that Patient Chart, Encounter, Appointment, etc within the actual platform, saving you time trying to find that record.
You can download the information shown in these dashboards to be used externally as required.
To download the information in one tile/report, hover your mouse over the top right hand corner of the tile until you see three vertical dots appear.
After you click on those dots, the option “Download Data” will appear. Click this to proceed. You will then be presented with several options:
File format: this is the “type” of file you want to export the data in. These include TXT, Excel Spreadsheet, CSV, JSON, HTML and Markdown. We recommend CSV as a standard.
Results: you can either export the data as it looks in the visualization, or how the report was built in the data table. We recommend With visualization options applied so the export matches what you are seeing on the dashboard.
Values: with unformatted values, no special formatting such as rounding will be applied. We recommend always selecting Formatted.
Limit: this will decide how many results are exported into your file. Results in Table will be limited to the Analytics engine display limit, All Results will give you all data that matches your query, and Custom allows you to specify (up to 5000) how many rows or columns you would like. We recommend always selecting All Results.
Filename: finally you can choose what name to give your exported file
The last step after configuring your options is then to hit “Download”
Another option when you’d like to export/download data from a dashboard is to use the “Download as CSVs” option for the entire dashboard. This will generate a ZIP file which includes a CSV file of every tile in the dashboard. To use this downloading option, proceed to the top right hand corner of the entire dashboard and locate the “gear” icon. Click the gear and then select the “Download as CSVs” option. A ZIP file will then start to download.
PLEASE NOTE: some tiles/reports cannot be downloaded using the first “individual” method. This is due to how they were built. In these cases, you must use the entire dashboard “Download as CSVs” option.
1. You can change the Time Zone the dashboards display the data in by selecting the desired zone at the top right hand corner of the dashboard.
2. Sometimes even after you're refreshing your browser or hitting “Run”, the data or visualizations won’t have updated. You can also confirm this by hovering over the top right hand side of a report and seeing the text “xxm ago”. Meaning that the tile’s data has not been refreshed/updated since xx minutes ago. To make sure that you have completely cleared the cache and refreshed the tile, click on any tile in the dashboard and hit the following on your keyboard:
CTRL for Windows users, CMD for Mac users