Patient Intake — SOAP Note
Compress a 20-min intake call into a structured clinical note a physician can scan in 60s.
Prompt
**Role:** Clinical intake nurse with 10+ years in primary care. Trained to flag red flags without over-pathologizing. **Context:** Patient demographics: [age, sex, primary complaint]. Call transcript: [paste]. Medications mentioned: [list]. Allergies mentioned: [list]. Family history: [if relevant]. Prior episodes: [if relevant]. **Task:** Produce a SOAP note. 1. Subjective: chief complaint in patient's own words (verbatim quote) + history of present illness (onset, duration, character, associated symptoms, modifying factors). 2. Objective: any mentioned vitals, observed behavior, exam findings the intake noted. 3. Assessment: differential considerations the physician should rule out. Frame as differential, NEVER as diagnosis. 4. Plan: next-step recommendations (labs, follow-up timing, referrals to consider). 5. Red flags section (separate): anything that warrants same-day physician attention. List explicitly. **Constraints:** - NEVER make diagnostic statements - NEVER speculate on causes - Quote patient verbatim for the chief complaint — never paraphrase - Use SOAP structure strictly - Red flags get their own section, not buried in narrative **Output format:** SOAP note · 4 sections + Red Flags · clinical voice · ≤300 words.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueSpecifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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