GenAI patient communication without disclaimer

Add a prominent AI-generated disclaimer and instructions to reach a human clinician to every GenAI patient clinical message, unless a licensed clinician reviews it first.

A step at the send boundary of the patient-communication path (portal message, email, SMS, letter PDF, FHIR Communication) that wraps the generated body with an AI_DISCLAIMER and CONTACT_HUMAN_INSTRUCTIONS before the send call. The alternative path routes the draft to a clinician review queue and sends only after a licensed provider approves it, recording who reviewed it. Do it in code at the send function, not in the prompt, so the model cannot drop or reword it; make the clinical-versus-administrative classification of a message explicit rather than implied.

Where it goes: 1 application source code, 9 AI output handling, 14 user-facing text.

What reviewers look for: every path from a model call to a patient-facing send passes through add_ai_disclaimer( or constants like AI_DISCLAIMER plus CONTACT_HUMAN_INSTRUCTIONS in the delivered text, or through a provider approval step (reviewed_by_licensed_provider, await provider_approval() whose result is checked before sending.

draft = client.chat.completions.create(model=MODEL, messages=msgs).choices[0].message.content
twilio.messages.create(to=patient.phone, from_=CLINIC_NUMBER, body=draft)

AI_DISCLAIMER = 'This message was generated by artificial intelligence.'
CONTACT_HUMAN_INSTRUCTIONS = 'To speak with a person, contact your care team at 555-0100.'

draft = client.chat.completions.create(model=MODEL, messages=msgs).choices[0].message.content
body = f'{AI_DISCLAIMER}\n\n{draft}\n\n{CONTACT_HUMAN_INSTRUCTIONS}'
twilio.messages.create(to=patient.phone, from_=CLINIC_NUMBER, body=body)

Engineering guidance, not legal advice. Each provision below may add its own details (a cadence, a deadline, a required notice element): open it for those.