AI and early digital twin models can help forecast trial performance, refine site feasibility, and anticipate operational needs before enrollment begins.
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
- Who Owns Data Quality? The Authority Gap Slowing Trials
- Clinical Research Isn't Even A Recognized Job. That's A Problem.
- What Will Life Science Orgs Do When The AI Bill Comes Through?
- Clinical Trial Standards — What They Are And Why They're Indispensable
- The Data Was Already There: RWE's Real Bottleneck Is People
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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How SaaS Unlocks New Possibilities For Life Science Organizations
The rise of SaaS (software-as-a-service) has transformed industries, including life sciences, by enabling new possibilities. See how it’s already helping life science organizations around the world today.
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No More Back And Forth: Building eCOAs Right The First Time
Clinical trial system builds have long been plagued by inefficiencies, miscommunications, and long timelines. Learn about a platform helping sponsors and CRO's overcome these challenges.
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Why Legacy RTSM Systems Create Risk in Biosimilar Trials
Learn how real-time visibility, adaptive supply planning, and proactive risk management can reduce waste and improve study execution.
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Using RWE To Get To Insights And Action — Faster
Delve into three examples that vividly showcase the formidable power of real-world evidence from the early stages of drug development through clinical trials and commercialization.
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Improving Clinical Trial Performance Through Central eSource
See how a top five pharmaceutical company leveraged our esource platform to enhance site performance, improve data consistency, and enable remote monitoring.
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Inova Health System Uses Advarra eReg Workflows And Integrations To Improve Regulatory Efficiency
Maintaining efficient, effective regulatory management processes can be a significant challenge. At Inova Health System, the research team improved regulatory efficiency by 20% without the need for extra regulatory staff by adopting Advarra’s eRegulatory Management System.
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Mastering Clinical Trial Forecasting Through Continuous Learning
Stop treating trial budgets as fixed predictions. Discover how top teams refine financial forecasts by tracking shifting assumptions to improve governance and build trust.
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What's Driving Data Innovation: Notes From The Front Lines Of Change
Clinical data innovators prioritize risk-based quality management, standards, and closer collaboration with research sites. Many see AI as an important support rather than a top priority.
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Reflections From ISOQOL Conference 2024
Greta van Schoor attended the 31st Annual ISOQOL Conference, where HRQOL leaders shared insights on optimizing eCOA collection, integrating PROs, and digital health in clinical research.
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Simplifying The Data Journey From EHR To EDC
Explore how open API architecture represents a significant advancement in the integration of EHR and EDC systems, enhancing the potential of EHR data for clinical research.
- How AI Is Used To Predict Trial Performance Before Enrollment
- Two Planning Mistakes That Quietly Sink Clinical Programs
- A Framework For Diagnosing Clinical Research Technology Maturity
- Clinical Trial Sites Don't Need More Tech, They Need Fewer Silos
- A Biostatistician's Caution Around Digital Twins In Trials
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