Clinical Trial Atlas
Building a 21st-Century Clinical-Trial Infrastructure for the United States
Changing demographics will increase diversity in the US population. The demographic shift will require greater diversity of subjects in clinical trials to meet market needs, presenting the challenge of designing clinical trials whose results will be transferable into clinical practice for all segments of the population. Currently, the US clinical-trial infrastructure can best be described as disconnected. A number of prominent institutions have developed unique internal capacities to manage clinical trials, but there is no network to foster efficient recruitment of patients or investigators. What is needed is a well-defined, permanent infrastructure that has the capacity to promote the recruitment of more diverse populations at a fraction of today’s cost while encouraging innovations when unmet needs are recognized.
Clinical Trial Atlas
We are updating the Clinical Trial Atlas, and it is temporarily unavailable. If you have not registered as a Clinical Trial Atlas user, you may register during the update process, and you will be able to access the atlas when it resumes operation.
The Clinical Trial Atlas (CT Atlas) maps data collected by the federal government from clinical trials throughout the United States. Users may search, filter, and map trials of drugs and devices by disease and location (nationwide, by state, by legislative district, and by zip code). They may also map minority zip codes to identify clinical trials that are located in or near minority communities.
National Clinical-Trial Infrastructure
The CT Atlas is the cornerstone for a permanent clinical-trial network that will foster the recruitment of underrepresented populations in clinical trials, reduce the cost of recruiting and maintaining clinical trials through the deployment of a secure electronic backbone that facilitates the transfer of authorized information, identify populations where disease prevalence would serve as an indicator for locating a clinical-trial site, and produce aggregated reports about the characteristics of patients recruited in trials. Each function will draw upon a common set of enabling technology, analytics, data, and security and governance resources. The ultimate objective of this network is to eliminate the underrepresentation of minorities in clinical trials and create efficiencies in the recruitment and maintenance of clinical trials.
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