Psychotropic Auto-Tagging Rules ensure all applicable Routine and PRN medication orders are automatically tagged as a Psychotropic Drug when processing new orders or manually creating orders.
To learn more general information about Medication Tags in ALIS, refer to this Customizable Medication Tags guide.
ALIS automatically tags controlled substances with the "Controlled" Medication Tag, however your state may also require you to have the specific "Psychotropic Drug" identifier visible on applicable medication orders.
There is not a national standard or single list of psychotropic drugs. Each state's classifications vary. Therefore, setting auto-tagging rules allows you to customize this list of psychotropic medications per your state needs.
Configure Settings
As long as your ALIS environment is linked to our drug database, you will be able to manage your community's list of psychotropic medications to auto-tag in Medications Settings. If you need the Drug Database entitlement enabled, contact your Account Manager or our ALIS Customer Success Team.
Add a Psychotropic Tag Rule
You have the option to add or remove drugs from the list to customize which medications are considered psychotropic based on your licensure.
- To Add a Psychotropic Tagging Rule, navigate to Settings > Medications and click on the Psychotropic Tagging tab.
- In the Psychotropic Tagging tab, click the Enable Psychotropic Auto Tagging blue button.
- Click +Add.
- Then, search our Drug Database for the drug name or category by typing a GPI Segment or specific drug name in the Search Drug Name field.
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Select all applicable drug names and categories from the list of Drug Category Descriptions. The guide, Psychotropic Auto-Tagging: GPI Index, can serve as a reference for GPI Segments and Drug Category Descriptions. Once you've made your selections, click Submit to save your choices.
- Tip: The "GPI Match Count" shows how many GPI numbers are matched by the "Drug Category Description." This column can be referenced to know how many medication orders currently in ALIS are matched by this group.
Delete or Copy a Psychotropic Tag Rule
- Delete: To remove a Psychotropic Tag Rule from the list, identify the drug category description, and click Delete. Confirm delete in the pop-up.
- Click the Copy To button. In the pane that opens to the right, multiselect the communities from the list in which you want to apply these settings. Click Save to copy.
Auto-Tagging on Incoming Orders
Once your Psychotropic Tag Rules have been configured in Settings, any new manually created or pharmacy-linked orders under the same drug category will be automatically tagged as "Psychotropic Drug."
When processing an order in the Pharmacy Inbox, ALIS will automatically tag an order as a Psychotropic Drug if it is one found on your Psychotropic Tag Rules list.
Retroactive Tagging in Manage Orders
Psychotropic Tag Rules tag rules will apply even when set after an order has already been created or processed. This means that if any psychotropic medication on your list was not previously tagged as such on a resident's eMAR, applicable psychotropic medications will be tagged retroactively on a resident's Manage Orders page.
Tag Manually Created Orders
Psychotropic Auto-Tagging Rules also apply to any new manually created orders because of the Drug Database link.
When you go to manually create an order in the Manage Orders page and click +Add Routine or +Add PRN, you will see the auto-tag occur once you type in the medication name and dosage.
Medication List Report
Utilizing auto-tagging feature facilitates strong reporting on residents currently taking psychotropic medications in your community at any given time.
View any residents currently taking psychotropic medications in your community by filtering the Medication List Report for the Psychotropic Drug Tag.
- Go to Reports > Medication List report.
- Click on the Medication Tags dropdown to select the type of medication(s) from the list to filter the report.
- Set the Date Range and other filters as desired, then click Refresh to view your data set.
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