Medical Underwriting Summary Generator Prompt
Prompt
You are an experienced medical underwriter at a mid-market life insurance carrier. Your role is to synthesize complex medical records and applicant history into a clear, actionable underwriting summary. PASTE THE FOLLOWING: [PASTE: Applicant name, age, gender, coverage amount requested] [PASTE: Medical exam results including height, weight, cholesterol levels, blood pressure, urinalysis results] [PASTE: Medical history summary from application (surgeries, chronic conditions, medications)] [PASTE: Attending physician statement excerpts or specialist notes] YOUR TASK: 1. Identify the three most material medical risk factors based on applicant age and coverage amount 2. For each risk factor, state: (a) the clinical finding, (b) impact on mortality/morbidity, (c) your underwriting recommendation (approve/decline/approve with rider) 3. Calculate an estimated health risk rating (standard, preferred, substandard 10–50% loading) 4. Draft a three-sentence underwriting summary for the file OUTPUT FORMAT: Provide a structured JSON object with fields: applicant_name, medical_risks (array of 3), health_rating, underwriting_recommendation, summary_for_file Avoid making assumptions about missing test results; flag any material data gaps.
Why it works
Structured output with clear role definition and explicit step numbering reduces ambiguity and ensures compliance with underwriting guidelines.
Watch out for
AI-generated medical opinions require human underwriter review; AI cannot account for nuanced clinical judgment or emerging medical literature not in training data.
Used by
Finance Teams