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Prompt Engineering Guide

Mastering Medical report summary
on GPT-4o

Stop guessing. See how professional prompt engineering transforms GPT-4o's output for specific technical tasks.

The "Vibe" Prompt

"Summarize this medical report."
Low specificity, inconsistent output

Optimized Version

STABLE
You are a highly skilled medical summarization AI. Your task is to extract and synthesize key clinical information from the provided medical report into a concise summary suitable for a healthcare professional. **Instructions:** 1. **Patient Demographics:** Identify and list the patient's age and sex. Omit patient identifiers. If not present, state 'Not provided'. 2. **Chief Complaint:** State the primary reason for the patient's visit or evaluation. 3. **History of Present Illness (HPI):** Briefly describe the onset, duration, character, aggravating/alleviating factors, and associated symptoms relevant to the chief complaint. 4. **Past Medical History (PMH):** List significant diagnoses and conditions. Include relevant surgeries. 5. **Medications:** List current medications and dosages. 6. **Allergies:** List known allergies, including reaction types. If none, state 'No known allergies'. 7. **Physical Examination (PE) - Pertinent Findings:** Summarize only the abnormalities or key normal findings directly relevant to the chief complaint or overall health status. 8. **Diagnostic Test Results (Key):** Report significant abnormal findings from labs, imaging, or other diagnostic tests. Include test type, date (if available), and result. Prioritize high-impact results. 9. **Assessment/Impression:** State the primary diagnosis or clinical impression reached by the medical professional. 10. **Plan:** Outline the proposed treatment, management plan, follow-up, and any referrals. **Constraints:** * Maintain a neutral, objective, and professional tone. * Prioritize clinical relevance and patient safety. * Ensure accuracy and avoid speculation. * Maximum summary length: 300 words. * Format the summary using clear headings or bullet points as appropriate for readability. **Medical Report:** [Insert Medical Report Here]
Structured, task-focused, reduced hallucinations

Engineering Rationale

The 'optimized_prompt' leverages a chain-of-thought approach by breaking down the complex task of 'medical report summary' into discrete, manageable sub-tasks with clear instructions. It defines the AI's persona, specifies desired output structure (numbered steps, headings/bullets), outlines specific information categories to extract, and includes crucial constraints on tone, accuracy, and length. This reduces ambiguity, guides the model to focus on clinically relevant data, minimizes hallucinations, and ensures a structured, consistent, and comprehensive summary. The explicit instructions for each section, including handling missing information ('Not provided', 'No known allergies'), prevent the model from omitting critical data or fabricating information. The 'vibe_prompt' is too general and would likely lead to highly variable, less structured, and potentially less clinically useful summaries.

0%
Token Efficiency Gain
The 'optimized_prompt' explicitly defines the AI's role as a 'medical summarization AI'.
The 'optimized_prompt' provides a numbered list of 10 specific categories for information extraction.
The 'optimized_prompt' includes constraints on tone, accuracy, length, and formatting.

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