| name | clinical-classification |
| description | Classifies clinical text into predefined categories such as severity, urgency, or clinical type based on patient information. Use when assigning labels for triage, prioritization, or categorization of medical cases. |
When classifying clinical text, follow these steps:
1. Understand the classification task
- Identify the classification dimension from the context (e.g., severity, urgency, type)
- Use only the categories provided or implied
2. Extract relevant signals
Identify information that supports classification:
- Symptoms and their severity
- Clinical findings
- Diagnoses
- Risk indicators
- Temporal aspects (acute vs chronic)
Only use explicitly stated information.
3. Assign a label
Classify the case into one of the predefined categories.
Examples (depending on context):
- Severity: MILD / MODERATE / SEVERE
- Urgency: LOW / MEDIUM / HIGH
- Type: ACUTE / CHRONIC
Do not create new categories.
4. Justify the classification
Provide a short rationale based on:
- Key symptoms or findings
- Clinical indicators present in the text
Keep justification concise and grounded.
5. Handle uncertainty
- If information is insufficient, state uncertainty
- Do not guess or assume missing data
6. Output format
Return the result as structured text:
Label: ...
Rationale:
- ...
- ...
7. Constraints
- Only use categories defined in the context
- Do not hallucinate clinical information
- Do not infer missing data
- Do not introduce external knowledge
Do not provide medical advice or recommendations
