Use AI to review your prior authorization justification draft and strengthen weak sections before submitting.

Prior authorizations can make or break a patient's access to care, but drafting a strong justification takes time you don't always have. Once you've written your first draft (without any patient identifiers), you can use AI as a second set of eyes to spot weak arguments, missing evidence points, or unclear language that insurance reviewers might reject. This workflow walks you through submitting your draft to AI, asking it to identify gaps, and then strengthening each weak area one by one. By the end, you'll have a tighter, more persuasive justification that's more likely to get approved. 1. Draft your prior authorization justification based on your clinical reasoning, leaving out all patient names, dates of birth, and identifying details. Keep it general but grounded in the clinical picture. 2. Paste your draft into ChatGPT or Claude and ask it to identify any weak spots, missing evidence, or unclear statements that an insurance reviewer might question or deny. 3. Review the AI's feedback carefully. It might flag vague language like 'patient would benefit' without specific functional goals, or missing objective measures that support medical necessity. 4. Ask the AI to help you rewrite each weak section with stronger, more specific language that ties directly to functional limitations and evidence-based treatment rationale. 5. Read through the revised version yourself. Make sure it still sounds like you, accurately reflects the clinical situation, and includes only truthful, verifiable claims. 6. Use the improved draft as your foundation, then add back any specific details (still keeping real patient data out of AI) and finalize it in your documentation system. Always review and verify before submission—AI helps you think, but you make the final clinical call.

March 21, 2026