diagnostic-support

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