elisaterumi-ai/clinical-agent-skills/diagnostic-support

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