Strong data hygiene, formal governance, and human oversight are becoming essential to responsible, scalable AI adoption in clinical trials.
- From 73% Noncompliant To 2.4%: Building A Compliance Office
- How AI Is Used To Predict Trial Performance Before Enrollment
- Two Planning Mistakes That Quietly Sink Clinical Programs
- Token Costs Will Decide Clinical Supply AI
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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How Modern Platforms Enable Connected Clinical Data Systems And Flexible Study Workflows
Digital trials demand seamless data flow. APIs reduce manual work, improve oversight, and power flexible, connected study environments.
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Will DCTs Finally Democratize Clinical Trials?
Who wouldn’t rather wear a smartwatch than drive 75 miles to have someone measure their blood pressure? See how DCTs have the capacity to include more people from a broader range of demographics.
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Why Data Integrity Still Matters — Even As Clinical Trials Evolve
Data integrity remains essential for compliance and patient safety. Learn strategies to maintain accuracy and reliability as clinical research evolves toward more connected, technology-driven models.
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Where Study Simulation Fits In Clinical Trials
Simulation lets teams test assumptions early, showing how design and operations affect timelines, cost, and feasibility — reducing risk and enabling confident, data‑driven decisions.
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How DCTs Became The New Standard
See how the core features of DCTs have become the new default clinical trial practices for a variety of therapeutic areas, almost four years after the 2020 pandemic brought about their rise.
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RBQM For Decentralized Trials: Two Key Areas Of Focus To Reduce Your Risk
This article takes a more in-depth look at Sections 5.0.5: ‘Risk Communication’ and 5.0.6: ‘Risk Review.’ in ICH-GCP E6 R2 to show how the implementation of RBQM can reduce issues and achieve holistic trial oversight in today’s complex decentralized trials.
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The Catch-22 Of eConsent: A Missed Opportunity For Improved Trials
Drawing on evidence from scientific literature, we examine the pitfalls that have hindered its success and propose actionable solutions to unlock its true value in clinical research.
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Guide: Switching To A New EDC System
Read to learn five key tips when switching to a new EDC system, including best practices for change management, process and people training, KPIs, and more.
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How To Make eConsent Accessible Across Diverse Populations
Accessible eConsent removes language, literacy, disability, and tech barriers, improving comprehension, equity, compliance, participant trust, inclusive enrollment, and data quality.
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How Long Is Your RTSM Risk Mitigation List?
While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
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