Use AI to prepare talking points and anticipate questions before presenting a case at peer review.

Peer review and case conferences are valuable but can feel high-pressure—especially when you're presenting a complex or unusual case. AI can help you walk in confident and organized. Use it to structure your case presentation, anticipate tough questions from colleagues, and prepare clear, evidence-based responses. This workflow helps you rehearse your thinking, tighten your narrative, and feel ready for discussion—all without sharing any real patient data. Start by outlining the anonymized case scenario, then ask AI to help you organize your presentation and think through what colleagues might ask. This isn't about getting AI to make clinical decisions—it's about using it as a thinking partner so you show up prepared and articulate. 1. Write a brief, fully de-identified case summary: include chief complaint, key clinical features, your diagnostic thinking, and any decision points or uncertainties. Keep it generic and anonymized. 2. Ask AI to organize this into a clear, logical case presentation structure with sections like background, clinical course, differential, management plan, and discussion points. 3. Request that AI generate 5–8 questions your peers might ask during review—focus on clinical reasoning, alternative diagnoses, guideline adherence, or challenging management decisions. 4. For each anticipated question, ask AI to help you draft a concise, evidence-informed talking point or rationale you can reference. 5. Review and refine everything. Make sure the presentation flows well and your responses sound like you—clear, confident, and grounded in your clinical judgment. 6. Practice once or twice out loud using your AI-drafted outline. Walk into the meeting organized, prepared, and ready to engage. Always remember: AI helps you prepare, but your clinical expertise drives the discussion.

February 22, 2026