Note Tagging: Organise, Search, and Report on Your Clinical Notes
Grounded Scribe Team
13 Apr 2026
Summary
Grounded Scribe now includes a note tagging system with 37 default tags across 8 categories. Tags can be applied manually or auto-suggested based on keywords in your note content. Tag analytics show frequency patterns across your organisation, helping teams identify common themes and track how caseload composition changes over time.
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Why Tags Matter
Clinical notes contain rich information, but that information is locked inside narrative text. When you need to answer questions like "how many of my clients are presenting with anxiety this term?" or "which students have mandatory reporting notes?" you are left searching through individual records.
Tags provide a structured layer on top of narrative documentation. They do not replace what you write — they categorise it so that patterns become visible across cases, across time, and across team members.
37 Default Tags in 8 Categories
The tagging system ships with a curated set of clinical tags organised into categories, each with a distinctive colour for quick visual identification:
Mental Health (blue) — anxiety, depression, self-harm, suicidal ideation, grief, trauma, eating disorders, substance use
Behaviour (red) — bullying, aggression, defiance, disruptive, school refusal, anger
Family (purple) — family conflict, domestic violence, separation, neglect, housing instability, young carer
Social (green) — peer conflict, isolation, identity and sexuality, cultural
Learning (amber) — academic concerns, attention and focus, disability, transition
Safety (rose) — mandatory report, safety plan, crisis
Health (pink) — chronic illness, sleep issues
Admin (grey) — consent, external referral, case review, closure
These categories reflect the range of concerns that Australian practitioners and school wellbeing teams document regularly. The default set is comprehensive enough to cover most use cases without being so large that tagging becomes burdensome.
Auto-Suggest
When you write a case note, the system scans the text for keywords associated with each tag and suggests relevant matches. For example:
- A note mentioning "low mood", "tearful", or "withdrawn" will suggest the depression tag
- A note mentioning "peer conflict" or "isolation" will suggest the peer conflict and isolation tags
- A note mentioning "safety plan" or "crisis" will suggest the corresponding safety tags
Auto-suggest uses keyword matching against the note content — it scans for specific words and phrases associated with each tag. It does not interpret clinical meaning or make diagnostic judgements. A note that mentions "the client discussed their friend's depression" may suggest the depression tag even though the client themselves is not presenting with depression. The practitioner reviews the suggestions and decides which tags to apply.
You can accept, dismiss, or add tags that the auto-suggest did not catch. Tags are always a practitioner decision, not an automated classification.
Tag Analytics
For organisations and school wellbeing teams, tag analytics provide an aggregate view of tagging patterns across the team:
- Tag frequency — how often each tag is used across all notes in a date range
- Trend over time — whether certain tags are becoming more or less frequent
- Distribution by category — the balance of mental health, behaviour, family, social, learning, safety, health, and admin tags across the caseload
These analytics are available on the Reports page for users with reporting permissions. They show aggregate counts — not individual student or client details.
Practical Uses
Wellbeing coordinators can see whether anxiety-tagged notes are increasing this term compared to last, suggesting a cohort-level trend that might warrant a universal intervention.
Practice owners can see the distribution of presenting concerns across the practice, informing professional development priorities and service planning.
Supervision benefits from tag data — a supervisor can see at a glance what themes a supervisee is documenting most frequently, informing supervision focus areas.
How to Use Tags
- Write your note as usual — the content is the primary record
- Review auto-suggestions — the system highlights tags that match keywords in your text
- Accept or adjust — apply the suggested tags, dismiss irrelevant ones, or add tags manually
- Save — tags are stored with the note and immediately available for search and analytics
Tags can also be added or removed after saving. If you realise a note should have been tagged differently, you can update it at any time.
For Schools
The default tag set was designed with Australian school wellbeing teams in mind. Categories like behaviour, family, learning, and safety reflect the range of concerns that school counsellors, psychologists, and wellbeing officers document daily.
The mandatory report and safety plan tags in the Safety category make it straightforward to surface all notes that relate to these critical compliance areas, without searching through narrative text.
Tag analytics help wellbeing coordinators and school leadership understand the nature of support being provided across the school — not just the volume of referrals, but the types of concerns driving them.
A Note on What Tags Are Not
Tags are a categorisation and retrieval tool. They help you organise your documentation and identify patterns in aggregate data.
Tags are not:
- Diagnoses — tagging a note with "anxiety" does not constitute a clinical diagnosis
- Automatic classifications — auto-suggest is a convenience feature based on keyword matching. The practitioner decides which tags apply.
- Risk assessments — a "crisis" tag documents that the note relates to a crisis situation. It does not assess or rate risk.
The practitioner remains the authority on what each note contains and how it should be categorised. Tags support that process — they do not replace it.
Create your account to start using note tagging, or learn more about clinical documentation features.
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Keywords: clinical note tagging system, organise clinical notes tags, session note categorisation, clinical documentation tagging, case note tagging software, tag analytics clinical notes
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