ThinkWithPrompt by SynotticThinkWithPrompt

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.

Marketing & BrandFew-ShotStandardAnalyzeFill-in Template

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.

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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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