Respond to an online patient review without violating HIPAA
A public reply that addresses a patient's review professionally without confirming they are a patient, plus the offline follow-up steps.
The prompt
Help me respond to an online review of our practice.
Platform: [Google, Yelp, Healthgrades, Facebook, etc.]
The review: [PASTE THE REVIEW]
Star rating: [1-5]
What we know internally: [BRIEF facts for my eyes only - do not put these in the reply]
Who will post it: [e.g. practice manager, office]
Contact route for offline follow-up: [e.g. "call our patient experience line at ..."]
The public reply must:
- Not confirm or deny that the reviewer is or was our patient, even if they identified themselves. No names, dates, visit details, diagnoses, treatments, or billing details.
- Not argue with facts, even if the review is inaccurate.
- Speak about our general policies in neutral terms (e.g. "Our practice aims to return calls within one business day").
- Invite the person to contact us directly, by role, not by a clinician's name.
- Stay under 80 words, warm and professional.
Return:
1. Two reply options: one brief, one slightly fuller.
2. A version for a positive review that thanks them without confirming a care relationship.
3. Internal next steps: log as a complaint if it describes a care or service issue, who should investigate, and when to escalate to the privacy officer or risk management.
4. A short note on when to request platform removal (e.g. reviews containing another patient's information or threats).
Have our privacy officer approve any reply template before it is used widely.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Marketing & Brand prompts
What to fill in
- Google, Yelp, Healthgrades, Facebook, etc.
- PASTE THE REVIEW
- BRIEF facts for my eyes only - do not put these in the reply
- e.g. practice manager, office
- e.g. "call our patient experience line at ..."
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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