ArticleScientific data2026
Telehealth Infrastructure for Cancer Care in the United States.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Telehealth Scale and Artificial Intelligence Adoption Tiers Across Clinical and Operational Domains in US Hospitals: Cross-Sectional Study.Journal of medical Internet research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Telehealth can reduce travel barriers to oncology, yet its impact depends on both digital connectivity and the geography of care. We present an open, reusable dataset that characterizes two critical components of telehealth infrastructure for cancer care, accessible oncologists and sufficient and affordable internet, at the ZIP Code Tabulation Area level across the United States. The resource integrates population-weighted fixed broadband measures and 5G coverage, internet subscription as an affordability proxy, geocoded oncologist practice sites with full-time-equivalent capacity, and a national origin-destination matrix of road travel times. From these inputs we compute spatial accessibility for in-person care by two-step floating catchment area method (2SFCA) and telehealth-enabled care by two-step virtual catchment area method (2SVCA) at 45-120-minute thresholds. We support transparency by releasing the source and intermediate indicators, the final accessibility scores, and a replicable 2SFCA/2SVCA workflow. Anticipated uses include benchmarking infrastructure across states and metropolitan areas, analyses of disparities by rurality and area deprivation, subsidy simulations, and rapid replication in new diseases or providers contexts.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.