AMA CMAA Framework: AI-Only CPT Codes for Medical Coders
The AMA’s new CMAA framework creates CPT codes for AI-only medical services with no physician involved. Here’s what coders need to know about this reimbursement shift.
AMA’s CMAA Framework: What AI-Only CPT Codes Mean for Medical Coders
Medical coding has always assumed a physician at the center — a clinician who sees a patient, documents the encounter, and orders the service. The current CPT system was built on that assumption. But a new framework quietly advancing inside the American Medical Association is about to challenge it.
The AMA’s CPT Editorial Panel is developing a coding structure called Clinically Meaningful Algorithmic Analyses, or CMAA. The premise is straightforward but consequential: some AI systems now produce medically actionable outputs with no physician directly involved at the point of service. If those outputs affect patient care, they need a billing code — and the CPT system doesn’t yet have clean language for them. CMAA is the AMA’s answer.
What CMAA Actually Describes
CMAA is designed to capture services where an algorithm — not a physician — processes clinically relevant data and generates a result that directly informs a clinical decision. Think of AI systems that analyze retinal scans for diabetic retinopathy without a radiologist reviewing each image, or models that screen ECGs for atrial fibrillation at scale. The algorithm runs, produces a finding, and that finding goes into the patient record. No physician work at the point of service is required.
This is meaningfully different from the AI-augmented codes introduced in CPT 2026, such as 75577 for AI-assisted coronary CT analysis (Cleerly’s HeartFlow-adjacent product) or the multimodal AI evaluation codes 0992T and 0993T. Those codes describe AI as an enhancement to physician work. CMAA describes AI as the service itself.
The AMA updated Appendix S — its taxonomy for classifying AI technology in CPT — in early 2026 as a precursor step, establishing the classification infrastructure before the actual CMAA codes are finalized. The framework is still moving through the CPT Editorial Panel process, with applications already arriving for services that rely entirely on algorithmic output.
Why This Creates a New Coding Challenge
For coders, CMAA opens territory that existing CPT conventions don’t map cleanly. Most CPT codes for diagnostic services tie reimbursement to physician work — the professional component — and technical execution. The relative value units are calibrated accordingly. An AI-only service has a technical component (running the algorithm, generating the report) but no traditional professional component in the physician-work sense. That gap raises several questions coders will need to navigate:
- Who bills? If no physician performed the service, the billing entity is typically the facility or the AI vendor operating under a provider agreement. Coders need to know which entity is submitting the claim.
- What documentation satisfies payer review? Without a physician note, the algorithm’s output report becomes the primary documentation. Coders need to understand what those reports must contain to support the code.
- How does Medicare treat AI-only outputs? CMS has not yet confirmed coverage policy for CMAA-class services under Medicare Part B. Until it does, billing these codes risks denial under the current “AI-only” denial rationale.
- Which payers will follow? Commercial payers will set their own policies. Coding teams will need payer-specific coverage rules.
What Coders Should Be Doing Now
CMAA codes are not yet live in the CPT code set. But the groundwork being laid now means these codes could move faster than typical CPT additions once approved. Three concrete steps to prepare: First, get familiar with Appendix S and how the AMA classifies AI technology in CPT. Second, identify which AI tools your organization is already using that operate without direct physician involvement at the point of service. Third, watch for CMS coverage determination announcements for autonomous AI-based diagnostics.
Preparing Your Coding Workflow Before CMAA Arrives
The organizations that will adapt fastest to CMAA are those already building AI-aware coding workflows — teams that understand which services in their encounter data involve algorithmic analysis and how to document those services for compliance. If your team is thinking through how to position for the next wave of CPT changes, Medikode’s automated medical coding platform is built to adapt with the evolving code set.