A health economics researcher explains why purchase price is the smallest number in a clinical trial technology decision and what gets left off the budget.
- Research Design Mistakes Even Experienced Analysts Still Make
- The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year
- A Framework For Deploying AI In Clinical Trials Without The Hype
- Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
- Your EDC Query Count Is Trying To Tell You Something
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Building Effective, Retrospective Decision-Grade Disease Registries
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Responsible Use Of AI In Healthcare: Work In Progress
Delve into the transformative role and potential benefits of artificial intelligence (AI) in healthcare and learn why it's crucial to carefully consider and plan for the responsible use of AI.
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Break The Contracting Bottleneck To Speed Site Activation
With the appropriate training data, AI has the capability to automate information gathering, document creation, and workflow management.
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Ready For Remote: eCOA Adapts To A Hybrid World
Due to the global health impact of COVID-19, many aspects of daily life have been moved to a hybrid model, meaning a mix of in-person and technology-enabled interactions In this blog, learn why eCOAs are especially well-suited for hybrid clinical trials.
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How We Used Intelligent Automation to Transform Vendor Selection
Discover how your small biotech can achieve faster timelines, improved cost control, and more strategic, transparent choices with a platform leveraging intelligent automation.
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eCOA Best Practices For Crohn's And UC Trials
Around 200 trials annually use tools like the Crohn’s Disease Activity Index (CDAI) and Modified Mayo Score (mMS) to measure clinical remission. Implementing these in eCOA systems requires careful planning.
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Flexible By Design: Support For Early-Phase Oncology Trial
Shifting cohorts, doses, and protocols challenge early-phase oncology trials. Learn how adaptable technology keeps studies on track.
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Clinical Trial Logistics: Meeting Unique Participant Needs
Uncover why delivering a comprehensive service entails establishing a robust global network equipped with the expertise, resources, and adaptability to address diverse participant needs worldwide.
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Investigator Databank And DQS: Welcoming New Consortium Members
Join the Data Query System consortium to access a comprehensive, collaborative platform that enhances clinical trial feasibility, site selection, and investigator engagement.
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What The Joint FDA And EMA's AI Principles Can Mean For Clinical Trial Technology
New FDA/EMA principles align global expectations for AI in drug trials, emphasizing transparency, human-centric design, and risk-based governance to ensure data integrity and patient safety.
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Selecting The Right Site Payments Solution For Today's Clinical Trials: What To Look For
Are you managing site payments with spreadsheets and manual processes? Discover how automation can reduce administrative burden, improve site relationships, and accelerate clinical trial operations.
- The Hidden Costs Of Clinical Trial Technology Nobody Budgets For
- What South Africa's Trial Sites Teach Global Clinical Research
- Research Design Mistakes Even Experienced Analysts Still Make
- The Infrastructure Behind Virtua Health's Push Toward 1.5 Million Studies A Year
- A Framework For Deploying AI In Clinical Trials Without The Hype
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