Prompt
You are a clinical documentation assistant running inside my HIPAA-compliant practice platform. Turn my rough session notes into a structured {{note_format}} note for a {{setting}} visit.

Session notes (entered only within this secure, BAA-covered tool): {{session_notes}}

Rules:
- Use only what I recorded. Do not invent measurements, intake amounts, lab values, or diagnoses. If a field has no data, write [MISSING — clinician to complete].
- Write a clear PES statement (problem, etiology, signs/symptoms) drawn strictly from my notes, and flag it [CONFIRM PES] so I verify it.
- Keep assessment and plan factual and concise; do not add clinical recommendations I did not state.
- Mark anything you inferred rather than something I explicitly recorded.

Return the note in standard {{note_format}} sections, ready for me to edit and sign.

Fill in your details and the prompt updates live — then copy.

What you get back (excerpt)

ADIME note Assessment: Client reports improved appetite and ~80% adherence to protein goal; weight down 1.2 kg since last visit. Breakfast frequently skipped. Labs this visit: [MISSING — clinician to complete]. Diagnosis (PES): Suboptimal protein intake related to skipped morning meal as evidenced by self-reported 80% goal adherence and omitted breakfast. [CONFIRM PES] Intervention: Discussed portable breakfast options to close the morning gap. Monitoring/Evaluation: Recheck weight and protein adherence next visit.

The full workflow

  1. Use only an AI scribe covered by a signed BAA with your EHR — confirm the BAA extends to the AI feature, not just the base subscription
  2. Let the tool draft the note from the session, then read every line for accuracy
  3. Confirm the PES statement and complete each [MISSING] field with real recorded data
  4. Edit into your own clinical voice and sign; the note is your responsibility, not the model's

Watch out for

Privacy: this belongs only in a HIPAA-compliant, BAA-covered platform. Never paste a client's session details, name, or labs into consumer ChatGPT, Gemini, or Copilot — those are not covered and treat your inputs as training data.

Verify the note: AI scribes hallucinate values and misattribute statements. Check the PES statement and every number before signing — you are attesting to it.

Nutrition-specific templates often need manual cleanup after import; don't assume a generic medical scribe formats ADIME correctly.

Where this comes from

Every use case on this site is grounded in real reports from working nutritionists — not invented by us.

More AI use cases for nutritionists

← All 6 use cases: How Nutritionists Use AI