Telehealth Utilization Statistics and National Trend Data

Telehealth visits surged from a baseline measured in the low single-digit percentages of all outpatient care to a dominant share of ambulatory encounters almost overnight — and the numbers that emerged from that period have reshaped how policymakers, payers, and health systems think about care delivery. This page examines what utilization data actually shows, how that data is collected and interpreted, the scenarios where utilization is highest, and where analysts draw lines between sustained adoption and temporary crisis behavior. The stakes are real: reimbursement policy, broadband investment decisions, and workforce planning all flow downstream from these numbers.

Definition and scope

Telehealth utilization statistics measure the volume, distribution, and characteristics of health care encounters delivered through remote communication technology, as distinct from in-person visits. The scope includes synchronous video visits, audio-only telephone consultations, asynchronous store-and-forward exchanges, and remote patient monitoring — each tracked through separate billing codes and, as a result, often reported in separate datasets.

The most authoritative national datasets come from Medicare claims data published by the Centers for Medicare & Medicaid Services (CMS), the Medical Expenditure Panel Survey administered by the Agency for Healthcare Research and Quality (AHRQ), and the CDC's National Center for Health Statistics (NCHS). Private-sector claims aggregators — FAIR Health is the most cited — track commercial insurance encounters and publish periodic trend reports, though their denominators differ from federal sources.

A critical scope boundary: utilization statistics typically count encounters, not patients. A single patient receiving 12 monthly remote blood pressure checks contributes 12 data points. This distinction matters when policymakers interpret whether telehealth is expanding access or simply concentrating visits among already-engaged patients.

How it works

Utilization data flows primarily through billing and claims systems. When a provider submits a claim using a telehealth-eligible CPT code — such as the 99202–99215 series with the modifier indicating a telecommunications-based encounter — that record enters payer databases. CMS compiles Medicare claims into publicly available files that researchers query to produce utilization estimates.

The process has three main measurement layers:

  1. Claims-based measurement — counts billable encounters using procedure codes. Fast to collect, limited to insured populations, and blind to encounters outside the billing system (such as direct-pay virtual visits).
  2. Survey-based measurement — captures patient-reported telehealth use regardless of insurance status. NCHS's National Health Interview Survey and the Health Information National Trends Survey (HINTS) from the National Cancer Institute are the primary federal instruments here. Survey data is slower and subject to recall bias, but broader in population coverage.
  3. Platform-level measurement — data reported by health systems and telehealth vendors on session volumes, completion rates, and no-show rates. This data is rarely published in comparable, auditable form, and varies by institution.

The gap between claims data and platform data is where the most interesting analytical arguments live. Claims capture reimbursed care; platform data captures attempted care. The delta between the two reflects a mix of patient dropout, technical failure, and audio-only substitution — a pattern documented in CMS's own Medicare Telehealth Trends data.

Common scenarios

Utilization is not evenly distributed. The highest telehealth encounter volumes appear in three identifiable clinical areas:

Mental health and behavioral health consistently accounts for the largest share of telehealth visits in claims data. FAIR Health's 2023 telehealth trend report found mental health conditions represented the top telehealth claim line diagnosis category for multiple consecutive years. The mental health telehealth landscape reflects a structural fit: therapy is largely talk-based, does not require physical examination, and patients showed strong preference for the modality before the 2020 policy expansions.

Chronic disease management — particularly diabetes, hypertension, and heart failure — generates high telehealth utilization through remote monitoring programs. Chronic disease telehealth relies heavily on connected devices transmitting biometric data, which providers review asynchronously or during brief synchronous check-ins.

Primary care for minor, acute complaints (upper respiratory illness, urinary tract infections, skin conditions) accounts for substantial commercial telehealth volume, though this category dropped more sharply than behavioral health after 2020 policy changes began stabilizing.

Rural geography is its own utilization story. HRSA's rural health data consistently shows that telehealth for rural communities addresses genuine access gaps — not just convenience preferences — particularly in Health Professional Shortage Areas where the nearest specialist may be over 60 miles away.

Decision boundaries

The central analytical question is whether high utilization reflects durable demand or a pandemic artifact. The data suggests the answer is "both, in different proportions by specialty."

Behavioral health utilization has shown the most resilience. Mental health telehealth as a share of all mental health encounters remained above 35 percent in Medicare data through 2022, compared to roughly 1 percent pre-2020 (CMS Office of Enterprise Data and Analytics). That is not a temporary blip — it represents a fundamental patient preference shift that telehealth post-pandemic policy changes have tried, imperfectly, to accommodate.

Acute primary care telehealth dropped more steeply once in-person care reopened, suggesting that modality substitution — patients using video when offices were closed — was a significant driver in that segment.

A second decision boundary involves equity. Aggregate utilization numbers obscure the telehealth digital divide: older adults, rural residents, and lower-income patients use telehealth at lower rates than their urban, younger, higher-income counterparts, even when holding clinical need constant. The National Telehealth Authority tracks these stratified utilization patterns precisely because aggregate numbers, read alone, can produce dangerously optimistic policy conclusions about access.

Telehealth utilization data is, at its core, a measurement of what the system made possible — not what patients actually needed. That gap is the frontier where policy and evidence are still catching up to each other.

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