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Prompt Engineering Guide

Mastering Medical report summary
on Llama 3.1 405B

Stop guessing. See how professional prompt engineering transforms Llama 3.1 405B's output for specific technical tasks.

The "Vibe" Prompt

"Summarize this medical report for a general audience. Make it easy to understand."
Low specificity, inconsistent output

Optimized Version

STABLE
You are a highly experienced medical summarization AI. Your task is to accurately and concisely summarize a given medical report for a layperson audience. Focus on identifying key medical findings, diagnoses, treatments, and follow-up plans. Ensure the language is simple, clear, and avoids medical jargon where possible. Follow this chain of thought: 1. **Identify Patient Demographics (if provided):** Note age, gender (if relevant and present). 2. **Scan for Chief Complaint/Reason for Visit:** Determine the primary issue that brought the patient in. 3. **Extract Key Medical History:** Briefly note relevant past conditions, surgeries, or ongoing illnesses. 4. **Summarize Present Illness/Symptoms:** Describe the current symptoms, their duration, and severity. 5. **Identify Significant Diagnostic Test Results:** Highlight abnormal or crucial findings from labs, imaging, etc. 6. **Extract Diagnoses:** List all confirmed or suspected diagnoses. 7. **Summarize Treatment Plan:** Detail medications, procedures, lifestyle changes, and referrals. 8. **Outline Follow-up Instructions:** Note next appointments, monitoring, or when to seek further care. 9. **Synthesize into a concise summary:** Combine the extracted information into a coherent, easy-to-understand paragraph or bullet points for a general audience, prioritizing clarity and brevity. Ensure no personally identifiable information (beyond what is necessary for understanding the medical context, e.g., age, gender) is included. Medical Report: [MEDICAL_REPORT_TEXT] Summary:
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages a detailed Chain-of-Thought (CoT) to guide the Llama 3.1 405B model through a structured summarization process. It explicitly defines the AI's persona, target audience, and the desired output characteristics (accurate, concise, simple language, no jargon). The step-by-step instructions ensure all critical components of a medical report are addressed systematically, reducing the chance of omissions or misinterpretations. By asking the model to 'Synthesize' at the end, it encourages a coherent narrative rather than just a list of facts. The explicit instruction to avoid PII (beyond what is medically relevant) enhances safety and privacy. This structured approach is crucial for handling complex, sensitive data like medical reports, ensuring a high-quality, relevant, and safe summary.

0%
Token Efficiency Gain
The summary accurately reflects the core medical findings and diagnoses.
The summary is understandable by a layperson without medical background.
The summary avoids medical jargon or explains it clearly.

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