Use AI to prepare clear talking points before explaining test results or specialist recommendations to patients.

When you receive MRI findings, diagnostic reports, or specialist recommendations that you need to explain to a patient, preparing clear, compassionate talking points ahead of time can make the conversation smoother. This workflow helps you translate complex medical language into patient-friendly explanations and anticipate common questions before the appointment. 1. Copy the key findings or recommendations (with all patient identifiers removed) into a document on your computer. 2. Paste the de-identified information into ChatGPT or Claude and ask it to explain the findings in simple, everyday language a patient could understand. 3. Ask the AI to generate 3-5 questions a worried patient might ask about these findings, along with clear, reassuring answer frameworks. 4. Request bullet points highlighting what the patient can do (exercises, lifestyle changes, next steps) so the conversation ends with action, not just diagnosis. 5. Review everything the AI generated, adjust the tone to match your style, and print or save your talking points to reference during the appointment. 6. After the visit, use your prepared points to quickly draft a follow-up summary email the patient can refer back to at home. Remember: AI helps you prepare and organize your thoughts, but your clinical judgment and relationship with the patient guide the actual conversation.

Try this prompt today

I need to explain test results to a patient in simple terms. The findings include: [paste de-identified findings here]. First, rewrite these findings in everyday language a non-medical person would understand. Then generate 5 questions a concerned patient might ask about these results. Finally, create 3-4 actionable next steps I can discuss with the patient to help them feel empowered and hopeful.

February 22, 2026

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