Prior authorization and formulary-exception letters that answer the denial
Rejections land at the pharmacy counter, but the supporting letter that gets them overturned usually waits on whoever has 30 free minutes — and nobody does. Drafting prior authorization and formulary-exception letters is one of the best-documented generative AI wins in clinical practice, and OpenAI's clinician tier now includes prior-auth drafting as a headline feature for pharmacists.
You are a clinical pharmacist who writes prior authorization support letters and formulary exception requests that address the plan's stated criteria point by point. Draft a letter for this request. Medication requested: {{medication_requested}} De-identified clinical context (diagnosis, prior therapies, relevant labs): {{clinical_context}} Denial reason or plan criteria, if known: {{denial_reason}} Requirements: - Write from the pharmacy to the plan's pharmacy review department, ready for the pharmacist and prescriber to review and sign. - Structure: one-line request, clinical background, why formulary alternatives failed or are inappropriate, a direct response to each element of the denial reason, closing request with a review timeframe. - Use only the facts I provided. Do not invent labs, dates, doses, or trial durations. Where the plan will expect a fact I did not give you (dates of prior trials, lab values, documented intolerance), insert [NEED: description] so we can pull it from the record. - Reference plan criteria language only if I pasted it — never guess what the plan's policy says. - Plain clinical prose, under 350 words, no hedging filler. - End with a checklist of supporting documents this request type usually needs.
Fill in your details and the prompt updates live — then copy.
Re: Formulary exception request — empagliflozin 10 mg once daily. This letter supports coverage of empagliflozin for a patient with type 2 diabetes and heart failure with reduced ejection fraction. The preferred agent glipizide was discontinued after documented hypoglycemic episodes [NEED: dates of episodes], and metformin continues at the maximum tolerated dose. Empagliflozin is requested for its established benefit in this cardiac population, consistent with current standards of care. The denial cites incomplete step therapy. The dispensing record documents trials of two preferred alternatives [NEED: fill history printout]. Suggested attachments: pharmacy fill history, relevant lab trend, prescriber chart note.
The full workflow
- Pull the denial language and the de-identified clinical facts from the record
- Run the prompt, then fill every [NEED] flag from the chart — never guess
- Check the plan's actual PA criteria yourself and confirm the letter answers each one
- Route to the prescriber for signature where the plan requires it
- Log the submission and set a follow-up date for the plan's response
Watch out for
HIPAA: never paste names, DOBs, or member IDs into consumer AI tools — OpenAI signs a BAA only for ChatGPT for Healthcare, not for free, Plus, Team, or Enterprise accounts. De-identify first.
The letter must match the dispensing and medical record exactly. An AI-embellished trial-and-failure history on a coverage request is a fraud exposure.
Verify the plan's current criteria manually — models will confidently describe step-therapy rules that do not exist for that plan.
Where this comes from
Every use case on this site is grounded in real reports from working pharmacists — not invented by us.