We analyzed traditional Medicare Fee-For-Service claims in the Centers for Medicare & Medicaid Services (CMS) Virtual Research Data Center and Chronic Conditions Warehouse, a secure environment for approved Medicare claims research. The cohort included beneficiaries aged 66 years or older with outpatient oncology-related encounters for breast, colon, rectal, endometrial, lung, or prostate cancer during 2021 to 2023. Office visits served as the in-person comparator. Telehealth and office visits were mutually exclusive encounter types defined using claims-based telehealth indicators, eligible outpatient visit codes, modifiers, and place-of-service codes. We calculated great-circle distance between beneficiary and provider zip code centroids; this zip-level measure approximates patient-provider geography and, for telehealth, service reach rather than travel. Rurality was assigned using zip-to-RUCA (rural-urban commuting area) crosswalks (UA: urban; LRC: large rural city/town; SRT: small rural town; ISR: isolated small rural town); US Census region was assigned by beneficiary state. We summarized medians, IQRs, cumulative distributions, and d80, the distance containing 80% of visits. Encounters missing beneficiary or provider zip codes were excluded. Estimates are visit weighted.

This study was determined exempt by the Huntsman Cancer Institute because it involved secondary analysis of existing Medicare claims data. The data were accessed through the CMS Virtual Research Data Center and Chronic Conditions Warehouse under required data use agreements and were analyzed within the secure CMS research environment. Only deidentified, cell size–compliant aggregate outputs were released from the secure environment. Informed consent was waived.

In this national Medicare outpatient oncology cohort, telehealth distances largely tracked office visits, with modest outward shifts concentrated in the upper tail. These distances represent patient-provider geography, not physical travel. Telehealth therefore appeared to modestly extend existing oncology networks rather than transform outpatient cancer care, consistent with a hybrid model in which virtual encounters supplement facility-based care that requires physical presence.

The concentration of differences in the upper tail suggests that telehealth may be most relevant for patients who already travel farther, including those in rural areas and those connected to regional specialty centers. At the same time, persistent rural-urban gradients indicate that telehealth alone does not eliminate structural sources of travel burden, including workforce maldistribution, regionalization of specialty services, and uneven digital infrastructure. Equity-relevant evaluation should therefore consider whether telehealth reduces high-burden travel among those most affected and whether gains are equitably realized given digital divides and variation in access to support.

This study has limitations. Distances were measured as straight-line great-circle miles rather than network travel time, which may understate burden in areas with sparse road networks or geographic barriers. Claims data may misclassify visit modality, and unmeasured confounding by case mix, severity, and patient preference may influence observed distributions. Future work should assess patient-level longitudinal trajectories, distinguish substitution from supplementation of in-person care, and evaluate whether telehealth-associated changes in travel burden relate to timeliness, continuity, and outcomes, particularly for populations at risk of digital exclusion.

Telehealth policy should align with how oncology care is delivered in practice. Because observed expansion is modest and concentrated in the long-distance tail, telehealth may be most beneficial as a targeted tool for patients facing higher travel burden rather than as a universal replacement for local care. Rural access and digital equity require broadband affordability, device access, navigation and language support, clinically appropriate coverage options, and licensure or network policies that support continuity across jurisdictions. Monitoring should track travel burden, missed appointments, and time to treatment.