Use AI to review your insurance pre-authorization narratives and catch missing clinical details before submission.
Before submitting an insurance pre-auth, paste your drafted narrative into ChatGPT and ask it to identify any gaps or missing clinical justifications. AI can quickly spot areas where you haven't fully explained medical necessity, treatment urgency, or why alternative treatments aren't appropriate. This gives you a chance to strengthen weak spots before the insurer reviews it, potentially reducing denials and back-and-forth delays. This isn't about letting AI write clinical justifications for you—it's about using it as a second pair of eyes to catch what you might have glossed over when you're writing quickly between patients. You'll still need to add the specific clinical details yourself, but AI helps you see where they're missing. Remember: Never paste real patient data into ChatGPT. Use placeholder details like 'Patient A, age 7' when testing this approach. Always review AI feedback carefully and use your clinical judgment to determine what's actually relevant for your case.
Try this prompt today
“Review this insurance pre-authorization narrative for a pediatric dental procedure. Identify any missing clinical details, gaps in medical necessity justification, or areas where I haven't explained why this treatment is urgent or why alternatives won't work. Point out specific sentences that need more support: [Paste your draft narrative here using fake patient details like 'Patient B, age 5' instead of real names]”
March 16, 2026
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