Paradigm Health enables network-driven feasibility and site selection using real-time EHR data directly from provider organizations delivering patient care. Evaluate protocols against active patient populations already being treated within the same settings where trials are conducted, with visibility into site capabilities, demographic representation, competing trial activity, and patient populations across the broader health system.
Despite growing investment in trial planning, site selection decisions are often based on lagging real-world data, static projections, self-reported feasibility surveys, and incomplete visibility into actual patient availability. When projected eligibility does not translate into real-world enrollment after activation, recruitment underperforms and sponsors are forced to open additional sites or reallocate resources mid-study. The result is avoidable operational inefficiency, increased cost, and reduced confidence in study execution.
Survey-based feasibility responses and historical averages frequently overestimate eligible patient volumes. Without validating protocol criteria against live clinical data, sponsors risk activating sites that cannot deliver projected enrollment once the study begins.
Patient counts alone do not reflect site capacity, competing trials, research priorities, or activation likelihood. Without structured insight into these factors, site selection becomes reactive rather than strategic—leading to slower startup and inconsistent performance across the network.
Paradigm Health enables sponsors to move from high-level feasibility projections to data-validated site selection grounded in real patient populations and operational readiness. By evaluating protocol eligibility against aggregated EHR data across our connected network, we provide a clear view of where eligible patients are treated and which sites are positioned to execute successfully.
We conduct structured feasibility analysis and site evaluation to quantify eligible patient volumes, assess demographic representation, evaluate competing trial activity, and validate site capabilities before activation. Site selection is informed not only by projected counts, but by capacity, portfolio alignment, and likelihood of performance. The result: confident deployment, streamlined activation, and sustained execution.
Paradigm Health quantifies enrollment opportunity using aggregated EHR and genomic data from a connected network of research-ready sites. Evaluate protocol eligibility against real patient populations, understand where eligible patients are treated, and assess site readiness before activation.
Quantify recruitable patient populations based on protocol criteria. Model how inclusion and exclusion criteria impact cohort size to refine deployment strategy.
Identify where eligible patients are concentrated across the network and within broader health systems. Compare patient volumes across sites to prioritize those with the strongest enrollment potential, and understand how patients flow across affiliated locations and physicians.
Assess the demographic composition of eligible patient populations. Analyze race, ethnicity, age, and gender to support representative enrollment and align with diversity and regulatory objectives.
Evaluate site readiness based on capabilities, research focus, and portfolio alignment. Select sites positioned to enroll effectively and execute with operational consistency.
Feasibility and site selection decisions determine where trials launch and how quickly they begin enrolling. By grounding deployment strategy in real patient populations and operational readiness, Paradigm Health helps sponsors activate with greater confidence and execute with fewer downstream adjustments.
Select sites based on verified patient populations and operational readiness rather than projected estimates. Network-driven feasibility insights reveal where eligible patients are treated and how patient access extends across broader provider organizations, not just individual sites.
Validating feasibility and site readiness before activation reduces startup friction and helps sponsors move more quickly toward first patient in. Data-driven site prioritization enables more targeted site qualification and reduces the need for unnecessary SQVs during study startup.
Deploy studies at sites with the highest likelihood of sustained recruitment. Align patient availability with site capability and access patients across affiliated locations and referring physicians to imrpove enrollment predictability and reduce the need to continuously add new sites.
Whether you're evaluating feasibility or preparing for site activation, early insight into patient populations and site readiness shapes startup success. Connect with Paradigm Health to assess feasibility, prioritize the right sites, and move into activation with greater confidence.
Let’s identify the sites best positioned to execute your study.
