Decentralized Clinical Trials Outlook in the USA

Interactive visualizer exploring patient distribution, oncology expertise, and broadband access to support understanding of decentralized trial feasibility in the USA.

Decentralized Clinical Trials Outlook in the USA

Interactive visualizer exploring patient distribution, oncology expertise, and broadband access to support understanding of decentralized trial feasibility in the USA.
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Exploring Conditions for Decentralized Oncology Trials

The Decentralized Clinical Trials Outlook is an interactive visualizer designed to support learning about where decentralized oncology trials could be practically considered in the United States. It brings together clinical, workforce, and infrastructure indicators to help users interpret geographic differences in trial readiness.

The visualizer exists to encourage informed reflection rather than prescription. By presenting key variables side by side, it helps clinical, operational, and regulatory stakeholders consider how patient access, medical expertise, and digital connectivity intersect when planning decentralized approaches.

What You Can Do With the Visualizer

How the visualizer supports structured exploration

Examine Patient Concentration

View the geographic distribution of oncology patients at county level to understand where potential participant populations are concentrated and where access challenges may exist.

Assess Medical Expertise Availability

Compare patient numbers with the distribution of registered oncologists to highlight areas where specialist coverage may be limited relative to need.

Consider Digital Feasibility

Explore broadband internet coverage alongside clinical indicators to support discussion on whether decentralized trial elements could be practically implemented.

Data Sources and Interpretation Logic

The visualizer combines publicly available data from U.S. cancer profiles, healthcare services, and broadband coverage sources, with the most recent updates ranging from 2021 to 2023. The visual logic is intentionally transparent, allowing users to interpret how each variable contributes to the overall picture without implying causality or suitability for a specific trial design.

What does “potential” mean in this context?
Use the visual patterns to ask informed questions about access and feasibility. The visualizer is a starting point for discussion, not a decision-making tool.

Educational Visualizers for Shared Understanding

The eyesON series is a collection of interactive visual tools created to support learning and interpretation in clinical research, quality, and regulatory contexts. Each visualizer focuses on making complex datasets easier to explore without simplifying the underlying realities.

Cyntegrity offers the eyesON series as a way to contribute practical, openly accessible learning tools to the wider research community, drawing on internal experience in data analysis and clinical operations. Explore More Interactive Visualizers…

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