White Papers
In-depth publications on enrollment strategy, site selection methodology, governance frameworks, and clinical trial operational excellence.
Featured Publications
Our white papers draw on network-wide data and operational experience to address the most pressing challenges in clinical trial execution.
AI Governance for Clinical Research Networks: A Strategic Framework
A strategic framework for clinical research networks adopting AI across recruitment, monitoring, and operations under the FDA's emerging credibility framework and the joint FDA/EMA Good Machine Learning Practice principles.
Building Workforce Stability with the Capacity-Pod Model
An operational playbook for clinical research networks transitioning from traditional study-team staffing to capacity-pod models that absorb coordinator turnover without disrupting study execution.
Predictive Enrollment Modeling: Moving Beyond Historical Averages
An analysis of how integrating real-world patient data, site-level capacity metrics, and disease prevalence mapping can improve enrollment forecast accuracy by up to 40% compared to traditional projection methods.
A Data-Driven Framework for Clinical Trial Site Selection
This paper outlines a structured, evidence-based approach to site identification and qualification that balances quantitative performance metrics with qualitative operational readiness indicators.
Governance-First Site Networks: Reducing Variability in Trial Execution
Examining how centralized governance frameworks applied across distributed site networks can reduce protocol deviations, improve data quality, and accelerate regulatory submission timelines.
Closing the Enrollment Gap: Strategies for Under-Enrolling Sites
A practical guide to identifying early indicators of enrollment shortfalls and implementing targeted interventions to bring underperforming sites back on track without compromising data integrity.
Topics We Cover
Our research spans the full clinical trial lifecycle, with particular depth in areas where operational decisions have the greatest impact on study outcomes.
Patient recruitment forecasting, screen failure reduction, retention strategy design, and diversity enrollment planning across therapeutic areas.
Site feasibility assessment, startup timelines, resource allocation models, and performance benchmarking across multi-site studies.
ICH E6(R3) readiness, risk-based monitoring approaches, ALCOA+ data integrity principles, and evolving global regulatory requirements.
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