Claim Rejection Tracker (JSON Schema and Review Prompt)
Track and analyze reasons claims are rejected.
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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it.
Design a lightweight tracker for rejected or denied claims at [PRACTICE_TYPE], then show how to analyze it. Step 1: Return a JSON schema example with 3 sample records using fake data. Keys: "claim_id", "payer", "date_of_service", "billed_amount", "rejection_code", "rejection_reason_plain", "category" (one of: eligibility, authorization, coding, documentation, timely filing, duplicate, other), "root_cause", "fix_applied", "resubmitted_date", "outcome", "days_to_resolve", and "preventable" (yes/no). Step 2: Give me a monthly review routine using this data: top five reasons by count and by dollar value, payers with the highest rates, preventable percentage, average days to resolve. Step 3: Write a prompt I can reuse each month where I paste the anonymized JSON and the model returns a findings table, three process changes, and one training topic for staff. Step 4: List privacy rules for the data (no patient names, restricted access) [VERIFY]. Do not give coding advice. Tell me which fields need a coder's review. Make sure all sample JSON is valid, and keep the reusable monthly prompt under 120 words so staff can paste it without editing. This is administrative and communication support only, not medical, clinical or legal advice. Remove patient identifiers before pasting anything. Have a clinician, compliance officer or practice manager who knows the rules in [JURISDICTION] verify the output before it is used.
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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.
See an example result (fictional data)
[{"claim_id": "C-1001", "payer": "Alpha Health", "date_of_service": "2026-08-03", "billed_amount": 140.0, "rejection_code": "CO-16", "rejection_reason_plain": "Missing information", "category": "documentation", "root_cause": "Referral number not entered", "fix_applied": "Added referral number", "resubmitted_date": "2026-08-10", "outcome": "paid", "days_to_resolve": 12, "preventable": "yes"}]
Monthly review: top reasons by count and by dollars; payer rates; preventable share; average days to resolve.
Reusable prompt: "Here is anonymized JSON of rejected claims for [MONTH]. Return a findings table, three process changes, and one training topic."
Privacy: no patient names; restricted access. Coder review needed for the category field.Illustrative only, made-up data. Your results will differ and must be reviewed.