Summary & Overview
CPT 0794T: Algorithmic Oncology Therapy Ranking
CPT code 0794T represents an algorithmic clinical decision-support service that ingests a patient’s clinical and existing molecular, laboratory, or pathology data to produce a ranked report of cancer drug therapies based on tumor biomarkers. The code codifies use of software-driven interpretation to guide targeted oncology treatment selection, reflecting growing integration of molecular diagnostics and informatics into clinical oncology care nationwide.
Key payers covered include Aetna, Blue Cross Blue Shield, Cigna Health, UnitedHealthcare, and Medicare. Readers will find a concise overview of the code’s clinical purpose, typical service settings, and national relevance. The publication summarizes benchmarking considerations for coverage and payment, outlines policy updates and payer approaches to algorithmic or software-based decision support, and situates the code within clinical workflows for precision oncology.
The report also provides practical context on service lines where this code is billed, implications for laboratory and oncology practice operations, and areas where payers and providers commonly focus reviews or prior authorization. Data not available in the input is explicitly noted where relevant.
Billing Code Overview
CPT code 0794T describes a clinical decision-support service in which a provider submits a patient’s clinical and existing molecular, laboratory, or pathology result data for algorithmic assessment. An algorithmic program generates a report that ranks available cancer drug therapies based on the patient’s cancer biomarkers.
-
Service type: Algorithmic clinical decision support for oncology therapeutic selection
-
Typical site of service: Oncology clinic, hospital outpatient department, or other ambulatory care settings where diagnostic and molecular data are available
Data not available in the input.
Clinical & Coding Specifications
Clinical Context
A 62-year-old patient with metastatic non–small cell lung cancer previously underwent tumor biopsy and comprehensive molecular profiling. The treating oncologist collects the patient’s clinical history, pathology reports, and prior laboratory and molecular test results and submits these data to an FDA-cleared algorithmic decision-support platform. The platform aggregates biomarker status (e.g., EGFR, ALK, ROS1, PD-L1, NTRK), prior therapies, comorbidities, and lab values and generates a ranked report of potential systemic cancer therapies and targeted agents for consideration. The service is typically ordered in the outpatient oncology clinic or via an oncology specialty practice prior to a treatment-planning conference; the typical site of service is outpatient clinic or physician office. The report is used to inform multidisciplinary tumor board discussion and to guide selection of targeted therapy, immunotherapy, or inclusion in biomarker-directed clinical trials. Clinicians incorporate the algorithmic ranking alongside clinical judgment, pathologist input, and patient preferences when finalizing therapy plans.
Coding Specifications
| Modifier | Description | When to Use |
|---|---|---|
22 | Increased procedural services | Use when documentation supports substantially greater complexity in preparing and submitting extensive clinical or molecular data beyond typical scope. |