Prompt Engineering

Prompt engineering for healthcare should be structured, auditable, and cautious. A good prompt does more than ask for an answer; it defines role, context, limits, output format, and escalation rules.

Practical Prompt Pattern

1. Define the clinical or operational role.
2. Provide only the necessary context.
3. Ask for structured output.
4. Include uncertainty and safety instructions.
5. Require next-step recommendations instead of overconfident conclusions.

Example Use Cases

• Patient education summaries in simple language.
• OPD follow-up message drafts.
• Differential diagnosis thinking checklists.
• Medical article summarization.
• Clinic automation instructions for n8n or Python scripts.

Core Rule

AI should support professional judgment, not replace it. Prompts must make that boundary visible.