CPT 0741T: Remote Algorithm-Based Insulin Dose Calculation and Titration
CPT code 0741T represents a digital health service in which a provider supplies software that collects, transmits, and stores patient data and runs an autonomous algorithm to generate insulin dose calculation and titration recommendations. Reportable each 30 days, this code captures ongoing remote management by an algorithm-driven decision support system rather than in-person clinician-only dosing. Nationally, the code matters because it formalizes billing for autonomous algorithm-based diabetes management tools, aligning reimbursement pathways with growing use of remote diabetes technologies and clinical decision support.
Key payers included in this analysis are Aetna, Blue Cross Blue Shield, Cigna Health, UnitedHealthcare, and Medicare. The publication outlines which payers have policies or coverage considerations for algorithm-driven remote monitoring and software-as-a-medical-service, where available, and highlights implications for billing workflows.
Readers will learn what CPT code 0741T covers clinically and operationally, the typical service setting and reporting cadence, and what to look for in payer coverage policies. The report also provides benchmark considerations, documentation expectations tied to software-based dosing recommendations, and summary-level policy updates relevant to remote algorithmic diabetes management. Data not available in the input are noted where applicable.
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Billing Code Overview
CPT code 0741T describes a service in which the provider supplies software and is responsible for the collection, transmission, and storage of data for a remote autonomous algorithm–based recommendation system used for insulin dose calculation and titration. The service is designed to support ongoing insulin dosing decisions by processing patient data through an autonomous algorithm and delivering dosing recommendations.
Service type: Remote algorithm-based insulin dosing and titration software service
Typical site of service: Remote / digital health platform
Data not available in the input for associated taxonomies, ICD-10 diagnoses, and related codes.