# DenQAI: fee schedule template

File-specific companion · 2026-09-10

## Purpose

How does a proposed fee schedule change economics for the same procedure volume and chair time?

**Who:** Authorized payer analyst, billing lead, and practice owner

**Records:** Current licensed code information; authorized office/current/offered allowed amounts; trailing annual units; direct variable costs; chair-time observations.

## Complete the file

1. Keep the seven header names unchanged and replace YOUR_CODE with permitted current code data.
2. Enter officeFee, currentAllowed, offeredAllowed, annualUnits, variableCost, and chairMinutes on a consistent per-code basis.
3. Identify missing, zero, or noncomparable values before using the payer-offer tool; keep confidential schedules in an approved environment.

## Definitions

- **Allowed amount:** Amount recognized under the specific reviewed payer arrangement, distinct from office fee.
- **Annual units:** Procedure units for the stated trailing or modeled year.
- **Variable cost:** Entered per-unit direct cost for this comparison; document included costs.

## Fictional example

Fictional example: A fictional CODE-A has officeFee 200, currentAllowed 150, offeredAllowed 140, annualUnits 100, variableCost 30, and chairMinutes 40.

## Review and next action

Review the decision-driving differences and their contract assumptions in the payer-offer workflow.

This raw CSV contains no formulas and only a blank example. Collection probability and other model settings are outside these seven columns; do not infer missing inputs or paste restricted schedules into unapproved tools.

[Related DenQAI guide](https://denqai.com/tools/payer-offer)

## AI coach prompt

Help me use DenQAI’s fee schedule template. My question is: How does a proposed fee schedule change economics for the same procedure volume and chair time? Explain these terms in plain language: Allowed amount, Annual units, Variable cost. Ask one question at a time about the required records: Current licensed code information; authorized office/current/offered allowed amounts; trailing annual units; direct variable costs; chair-time observations. Walk through the supplied fictional example before asking me for inputs. Treat every missing value as unknown, not zero. Do not invent source records, contract terms, legal conclusions, or clinical facts. Use only permitted fictional or aggregate, non-identifying information. Follow this boundary: This raw CSV contains no formulas and only a blank example. Collection probability and other model settings are outside these seven columns; do not infer missing inputs or paste restricted schedules into unapproved tools. End with the missing evidence and this next step: Review the decision-driving differences and their contract assumptions in the payer-offer workflow.

## AI review prompt

Review my permitted fictional or aggregate draft of DenQAI’s fee schedule template against the file instructions. Check each required field and period, units, evidence locator, assumptions, arithmetic where formulas are actually supplied, and unresolved contradictions. Check the sequence: Keep the seven header names unchanged and replace YOUR_CODE with permitted current code data. Enter officeFee, currentAllowed, offeredAllowed, annualUnits, variableCost, and chairMinutes on a consistent per-code basis. Identify missing, zero, or noncomparable values before using the payer-offer tool; keep confidential schedules in an approved environment. Separate facts from assumptions and missing records. Do not supply unsupported numbers or make a professional decision for me. Apply this limitation: This raw CSV contains no formulas and only a blank example. Collection probability and other model settings are outside these seven columns; do not infer missing inputs or paste restricted schedules into unapproved tools. Return corrections, questions for the responsible reviewer, and the next action.
