Summary & Overview
CPT 0902T: Mobile ECG Algorithm to Derive QTc Interval
Headline: New CPT code 0902T defines clinician use of an augmentative algorithm to derive QTc from patient-activated mobile ECG recordings.
Lead: CPT code 0902T captures a service in which a clinician applies an augmentative algorithm to analyze heart rhythm data from an external, patient-activated mobile electrocardiogram (ECG) device and derives the QTc interval. This code formalizes a growing area of digital cardiac monitoring and has implications for outpatient arrhythmia evaluation, medication safety monitoring, and remote cardiac care.
Why it matters: The ability to bill for algorithm-assisted QTc derivation recognizes clinician effort in interpreting patient-initiated mobile ECGs and supports broader adoption of mobile cardiac monitoring tools. National payers and Medicare are the primary audiences for coverage and reimbursement policy decisions that affect utilization.
Payers covered: Analysis addresses national payers including Aetna, Blue Cross Blue Shield, Cigna Health, UnitedHealthcare, and Medicare.
What readers will learn: The publication reviews the clinical context for QTc measurement using mobile ECGs, documents the scope of CPT code 0902T, and summarizes expected benchmarks and policy considerations for national payers. It outlines typical service settings, clinical applications in ambulatory and remote monitoring, and the operational implications for practices integrating mobile ECG devices and algorithmic analysis.
Clinical context and takeaways: Readers will gain a concise understanding of when CPT code 0902T applies, how it fits into digital cardiac monitoring workflows, and key considerations for payers and providers in billing and coverage discussions.
Billing Code Overview
CPT code 0902T describes a service in which a provider uses an augmentative algorithm to analyze heart rhythm data captured from an external, patient-activated mobile electrocardiogram (ECG) device. The analysis derives the QTc interval, a corrected measurement of the heart’s electrical cycle that is used to assess repolarization and arrhythmia risk.
Service type: Algorithmic cardiac rhythm analysis derived from patient-activated mobile ECG data
Typical site of service: Ambulatory or remote monitoring settings, including telehealth-enabled workflows where patients use a mobile ECG device to capture and transmit rhythm recordings for clinician review and algorithm-based QTc derivation.
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Clinical & Coding Specifications
Clinical Context
A 62-year-old outpatient with a history of hypertension and a recent start of a QT-prolonging medication presents for ambulatory cardiac monitoring. The clinician issues a patient-activated, external mobile electrocardiogram (ECG) device for episodic rhythm capture over several days. When the patient records an event using the device, the captured ECG data are transmitted to an augmentative algorithm that automatically analyzes heart rhythm and derives the corrected QT interval (QTc). The clinical workflow typically includes: ordering the mobile ECG device, educating the patient on when and how to record symptomatic episodes, remote transmission of recordings, automated algorithmic derivation of the QTc with flagging of abnormal intervals, clinician review of flagged tracings, and documentation of the QTc result and any subsequent management decisions in the medical record. Typical site of service is outpatient clinic, remote monitoring/telehealth environment, or ambulatory device program; service type is algorithmic analysis of patient-activated mobile ECG to derive QTc.
Coding Specifications
| Modifier | Description | When to Use |
|---|---|---|
22 |