Use AI to review and strengthen your insurance pre-authorization narratives before submission to catch missing details.

Before submitting an insurance pre-authorization narrative, have AI act as a critical reviewer to spot gaps that might lead to denials. This workflow helps you catch missing clinical justifications, unclear treatment timelines, or weak necessity arguments before the insurance company sees them. By treating AI as your first quality check, you can strengthen your case and reduce back-and-forth delays. 1. Copy your draft pre-authorization narrative (with all real patient info removed or replaced with generic placeholders like 'pediatric patient age 7'). 2. Paste it into ChatGPT or Claude and ask it to review the narrative for common weaknesses: missing clinical justification, unclear necessity language, timeline gaps, or vague treatment descriptions. 3. Review the AI's feedback and look for patterns—are you missing specific diagnostic codes, unclear about why treatment can't wait, or light on developmental rationale? 4. Ask the AI to suggest stronger phrasing for any weak sections it identified, keeping the tone professional and medically sound. 5. Manually revise your original narrative using the AI's suggestions, always verifying clinical accuracy and appropriateness. 6. Do a final personal read-through to ensure everything aligns with your clinical judgment and the patient's actual case before submission. Remember: AI helps you catch gaps, but you make the final call on what's clinically accurate and appropriate.

March 6, 2026