| name | diagnostic-support |
| description | Generates possible diagnostic hypotheses based on clinical text, including symptoms, findings, and test results. Use when analyzing patient data to assist clinical reasoning and suggest differential diagnoses. |
When generating diagnostic hypotheses, follow these steps:
1. Extract relevant clinical information
Identify key elements from the input:
- Symptoms and complaints
- Clinical signs and findings
- Medical history
- Laboratory and exam results
Only use explicitly stated information.
2. Generate differential diagnoses
- Propose a list of possible diagnoses based on the available data
- Include multiple hypotheses when appropriate
- Consider common and plausible conditions
Do not assume missing information.
3. Justify each hypothesis
For each suggested diagnosis, provide a brief justification based on:
- Symptoms
- Findings
- Clinical context
Keep justifications concise and grounded in the input.
4. Rank by likelihood
- Order hypotheses from most to least likely
- Base ranking only on the provided information
Do not overstate certainty.
5. Express uncertainty clearly
- Use cautious language (e.g., “possible”, “suggestive of”)
- Do not present any diagnosis as definitive
6. Output format
Return the result as structured text:
Possible Diagnoses:
1. Diagnosis name
- Justification: ...
2. Diagnosis name
- Justification: ...
7. Constraints
- This is assistive support, not a medical diagnosis
- Do not provide treatment recommendations
- Do not hallucinate clinical data
- Do not infer information not present in the input
- Do not express certainty beyond the available evidence
